amokrov commited on
Commit
27613be
·
verified ·
1 Parent(s): 54791c8

Upload 4 files

Browse files
openvino_detokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba8a6127e4baf88e4a09972abab379257afabb43d238d6c2702ab77549822c08
3
+ size 458274
openvino_detokenizer.xml ADDED
@@ -0,0 +1,375 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="detokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_10729" type="Parameter" version="opset1">
5
+ <data shape="?,?" element_type="i64" />
6
+ <output>
7
+ <port id="0" precision="I64" names="Parameter_10729">
8
+ <dim>-1</dim>
9
+ <dim>-1</dim>
10
+ </port>
11
+ </output>
12
+ </layer>
13
+ <layer id="1" name="Convert_10915" type="Convert" version="opset1">
14
+ <data destination_type="i32" />
15
+ <input>
16
+ <port id="0" precision="I64">
17
+ <dim>-1</dim>
18
+ <dim>-1</dim>
19
+ </port>
20
+ </input>
21
+ <output>
22
+ <port id="1" precision="I32">
23
+ <dim>-1</dim>
24
+ <dim>-1</dim>
25
+ </port>
26
+ </output>
27
+ </layer>
28
+ <layer id="2" name="Constant_10731" type="Const" version="opset1">
29
+ <data element_type="i32" shape="30522" offset="0" size="122088" />
30
+ <output>
31
+ <port id="0" precision="I32">
32
+ <dim>30522</dim>
33
+ </port>
34
+ </output>
35
+ </layer>
36
+ <layer id="3" name="Constant_10733" type="Const" version="opset1">
37
+ <data element_type="i32" shape="30522" offset="122088" size="122088" />
38
+ <output>
39
+ <port id="0" precision="I32">
40
+ <dim>30522</dim>
41
+ </port>
42
+ </output>
43
+ </layer>
44
+ <layer id="4" name="Constant_10735" type="Const" version="opset1">
45
+ <data element_type="u8" shape="214020" offset="244176" size="214020" />
46
+ <output>
47
+ <port id="0" precision="U8">
48
+ <dim>214020</dim>
49
+ </port>
50
+ </output>
51
+ </layer>
52
+ <layer id="5" name="Slice_10740" type="Const" version="opset1">
53
+ <data element_type="i32" shape="5" offset="458196" size="20" />
54
+ <output>
55
+ <port id="0" precision="I32">
56
+ <dim>5</dim>
57
+ </port>
58
+ </output>
59
+ </layer>
60
+ <layer id="6" name="VocabDecoder_10742" type="VocabDecoder" version="extension">
61
+ <data skip_tokens="" />
62
+ <input>
63
+ <port id="0" precision="I32">
64
+ <dim>-1</dim>
65
+ <dim>-1</dim>
66
+ </port>
67
+ <port id="1" precision="I32">
68
+ <dim>30522</dim>
69
+ </port>
70
+ <port id="2" precision="I32">
71
+ <dim>30522</dim>
72
+ </port>
73
+ <port id="3" precision="U8">
74
+ <dim>214020</dim>
75
+ </port>
76
+ <port id="4" precision="I32">
77
+ <dim>5</dim>
78
+ </port>
79
+ </input>
80
+ <output>
81
+ <port id="5" precision="I32">
82
+ <dim>-1</dim>
83
+ </port>
84
+ <port id="6" precision="I32">
85
+ <dim>-1</dim>
86
+ </port>
87
+ <port id="7" precision="I32">
88
+ <dim>-1</dim>
89
+ </port>
90
+ <port id="8" precision="I32">
91
+ <dim>-1</dim>
92
+ </port>
93
+ <port id="9" precision="U8">
94
+ <dim>-1</dim>
95
+ </port>
96
+ </output>
97
+ </layer>
98
+ <layer id="7" name="FuzeRagged_10743" type="FuzeRagged" version="extension">
99
+ <input>
100
+ <port id="0" precision="I32">
101
+ <dim>-1</dim>
102
+ </port>
103
+ <port id="1" precision="I32">
104
+ <dim>-1</dim>
105
+ </port>
106
+ <port id="2" precision="I32">
107
+ <dim>-1</dim>
108
+ </port>
109
+ <port id="3" precision="I32">
110
+ <dim>-1</dim>
111
+ </port>
112
+ </input>
113
+ <output>
114
+ <port id="4" precision="I32">
115
+ <dim>-1</dim>
116
+ </port>
117
+ <port id="5" precision="I32">
118
+ <dim>-1</dim>
119
+ </port>
120
+ </output>
121
+ </layer>
122
+ <layer id="8" name="Constant_10745" type="Const" version="opset1">
123
+ <data element_type="u8" shape="2" offset="458216" size="2" />
124
+ <output>
125
+ <port id="0" precision="U8">
126
+ <dim>2</dim>
127
+ </port>
128
+ </output>
129
+ </layer>
130
+ <layer id="9" name="Constant_10747" type="Const" version="opset1">
131
+ <data element_type="u8" shape="0" offset="458218" size="1" />
132
+ <output>
133
+ <port id="0" precision="U8">
134
+ <dim>0</dim>
135
+ </port>
136
+ </output>
137
+ </layer>
138
+ <layer id="10" name="RegexNormalization_10748" type="RegexNormalization" version="extension">
139
+ <data global_replace="true" />
140
+ <input>
141
+ <port id="0" precision="I32">
142
+ <dim>-1</dim>
143
+ </port>
144
+ <port id="1" precision="I32">
145
+ <dim>-1</dim>
146
+ </port>
147
+ <port id="2" precision="U8">
148
+ <dim>-1</dim>
149
+ </port>
150
+ <port id="3" precision="U8">
151
+ <dim>2</dim>
152
+ </port>
153
+ <port id="4" precision="U8">
154
+ <dim>0</dim>
155
+ </port>
156
+ </input>
157
+ <output>
158
+ <port id="5" precision="I32">
159
+ <dim>-1</dim>
160
+ </port>
161
+ <port id="6" precision="I32">
162
+ <dim>-1</dim>
163
+ </port>
164
+ <port id="7" precision="U8">
165
+ <dim>-1</dim>
166
+ </port>
167
+ </output>
168
+ </layer>
169
+ <layer id="11" name="UTF8Validate_10749" type="UTF8Validate" version="extension">
170
+ <data replace_mode="true" />
171
+ <input>
172
+ <port id="0" precision="I32">
173
+ <dim>-1</dim>
174
+ </port>
175
+ <port id="1" precision="I32">
176
+ <dim>-1</dim>
177
+ </port>
178
+ <port id="2" precision="U8">
179
+ <dim>-1</dim>
180
+ </port>
181
+ </input>
182
+ <output>
183
+ <port id="3" precision="I32">
184
+ <dim>-1</dim>
185
+ </port>
186
+ <port id="4" precision="I32">
187
+ <dim>-1</dim>
188
+ </port>
189
+ <port id="5" precision="U8">
190
+ <dim>-1</dim>
191
+ </port>
192
+ </output>
193
+ </layer>
194
+ <layer id="12" name="Constant_10751" type="Const" version="opset1">
195
+ <data element_type="u8" shape="2" offset="458219" size="2" />
196
+ <output>
197
+ <port id="0" precision="U8">
198
+ <dim>2</dim>
199
+ </port>
200
+ </output>
201
+ </layer>
202
+ <layer id="13" name="Constant_10753" type="Const" version="opset1">
203
+ <data element_type="u8" shape="0" offset="458218" size="1" />
204
+ <output>
205
+ <port id="0" precision="U8">
206
+ <dim>0</dim>
207
+ </port>
208
+ </output>
209
+ </layer>
210
+ <layer id="14" name="RegexNormalization_10754" type="RegexNormalization" version="extension">
211
+ <data global_replace="true" />
212
+ <input>
213
+ <port id="0" precision="I32">
214
+ <dim>-1</dim>
215
+ </port>
216
+ <port id="1" precision="I32">
217
+ <dim>-1</dim>
218
+ </port>
219
+ <port id="2" precision="U8">
220
+ <dim>-1</dim>
221
+ </port>
222
+ <port id="3" precision="U8">
223
+ <dim>2</dim>
224
+ </port>
225
+ <port id="4" precision="U8">
226
+ <dim>0</dim>
227
+ </port>
228
+ </input>
229
+ <output>
230
+ <port id="5" precision="I32">
231
+ <dim>-1</dim>
232
+ </port>
233
+ <port id="6" precision="I32">
234
+ <dim>-1</dim>
235
+ </port>
236
+ <port id="7" precision="U8">
237
+ <dim>-1</dim>
238
+ </port>
239
+ </output>
240
+ </layer>
241
+ <layer id="15" name="Constant_10756" type="Const" version="opset1">
242
+ <data element_type="u8" shape="51" offset="458221" size="51" />
243
+ <output>
244
+ <port id="0" precision="U8">
245
+ <dim>51</dim>
246
+ </port>
247
+ </output>
248
+ </layer>
249
+ <layer id="16" name="Constant_10758" type="Const" version="opset1">
250
+ <data element_type="u8" shape="2" offset="458272" size="2" />
251
+ <output>
252
+ <port id="0" precision="U8">
253
+ <dim>2</dim>
254
+ </port>
255
+ </output>
256
+ </layer>
257
+ <layer id="17" name="RegexNormalization_10759" type="RegexNormalization" version="extension">
258
+ <data global_replace="true" />
259
+ <input>
260
+ <port id="0" precision="I32">
261
+ <dim>-1</dim>
262
+ </port>
263
+ <port id="1" precision="I32">
264
+ <dim>-1</dim>
265
+ </port>
266
+ <port id="2" precision="U8">
267
+ <dim>-1</dim>
268
+ </port>
269
+ <port id="3" precision="U8">
270
+ <dim>51</dim>
271
+ </port>
272
+ <port id="4" precision="U8">
273
+ <dim>2</dim>
274
+ </port>
275
+ </input>
276
+ <output>
277
+ <port id="5" precision="I32">
278
+ <dim>-1</dim>
279
+ </port>
280
+ <port id="6" precision="I32">
281
+ <dim>-1</dim>
282
+ </port>
283
+ <port id="7" precision="U8">
284
+ <dim>-1</dim>
285
+ </port>
286
+ </output>
287
+ </layer>
288
+ <layer id="18" name="StringTensorPack_10760" type="StringTensorPack" version="opset15">
289
+ <input>
290
+ <port id="0" precision="I32">
291
+ <dim>-1</dim>
292
+ </port>
293
+ <port id="1" precision="I32">
294
+ <dim>-1</dim>
295
+ </port>
296
+ <port id="2" precision="U8">
297
+ <dim>-1</dim>
298
+ </port>
299
+ </input>
300
+ <output>
301
+ <port id="3" precision="STRING" names="Result_10761,string_output">
302
+ <dim>-1</dim>
303
+ </port>
304
+ </output>
305
+ </layer>
306
+ <layer id="19" name="Result_10761" type="Result" version="opset1" output_names="Result_10761,string_output">
307
+ <input>
308
+ <port id="0" precision="STRING">
309
+ <dim>-1</dim>
310
+ </port>
311
+ </input>
312
+ </layer>
313
+ </layers>
314
+ <edges>
315
+ <edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
316
+ <edge from-layer="1" from-port="1" to-layer="6" to-port="0" />
317
+ <edge from-layer="2" from-port="0" to-layer="6" to-port="1" />
318
+ <edge from-layer="3" from-port="0" to-layer="6" to-port="2" />
319
+ <edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
320
+ <edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
321
+ <edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
322
+ <edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
323
+ <edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
324
+ <edge from-layer="6" from-port="8" to-layer="7" to-port="3" />
325
+ <edge from-layer="6" from-port="9" to-layer="10" to-port="2" />
326
+ <edge from-layer="7" from-port="4" to-layer="10" to-port="0" />
327
+ <edge from-layer="7" from-port="5" to-layer="10" to-port="1" />
328
+ <edge from-layer="8" from-port="0" to-layer="10" to-port="3" />
329
+ <edge from-layer="9" from-port="0" to-layer="10" to-port="4" />
330
+ <edge from-layer="10" from-port="7" to-layer="11" to-port="2" />
331
+ <edge from-layer="10" from-port="6" to-layer="11" to-port="1" />
332
+ <edge from-layer="10" from-port="5" to-layer="11" to-port="0" />
333
+ <edge from-layer="11" from-port="3" to-layer="14" to-port="0" />
334
+ <edge from-layer="11" from-port="4" to-layer="14" to-port="1" />
335
+ <edge from-layer="11" from-port="5" to-layer="14" to-port="2" />
336
+ <edge from-layer="12" from-port="0" to-layer="14" to-port="3" />
337
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="4" />
338
+ <edge from-layer="14" from-port="5" to-layer="17" to-port="0" />
339
+ <edge from-layer="14" from-port="6" to-layer="17" to-port="1" />
340
+ <edge from-layer="14" from-port="7" to-layer="17" to-port="2" />
341
+ <edge from-layer="15" from-port="0" to-layer="17" to-port="3" />
342
+ <edge from-layer="16" from-port="0" to-layer="17" to-port="4" />
343
+ <edge from-layer="17" from-port="5" to-layer="18" to-port="0" />
344
+ <edge from-layer="17" from-port="6" to-layer="18" to-port="1" />
345
+ <edge from-layer="17" from-port="7" to-layer="18" to-port="2" />
346
+ <edge from-layer="18" from-port="3" to-layer="19" to-port="0" />
347
+ </edges>
348
+ <rt_info>
349
+ <add_attention_mask value="True" />
350
+ <add_prefix_space />
351
+ <add_special_tokens value="True" />
352
+ <clean_up_tokenization_spaces />
353
+ <detokenizer_input_type value="i64" />
354
+ <handle_special_tokens_with_re />
355
+ <max_length />
356
+ <number_of_inputs value="1" />
357
+ <openvino_tokenizers_version value="2025.1.0.0-523-710ddf14de8" />
358
+ <openvino_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" />
359
+ <original_post_processor_template value="{&quot;type&quot;: &quot;TemplateProcessing&quot;, &quot;single&quot;: [{&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[CLS]&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;type_id&quot;: 0}}], &quot;pair&quot;: [{&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[CLS]&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;B&quot;, &quot;type_id&quot;: 1}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;type_id&quot;: 1}}], &quot;special_tokens&quot;: {&quot;[CLS]&quot;: {&quot;id&quot;: &quot;[CLS]&quot;, &quot;ids&quot;: [101], &quot;tokens&quot;: [&quot;[CLS]&quot;]}, &quot;[SEP]&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;ids&quot;: [102], &quot;tokens&quot;: [&quot;[SEP]&quot;]}}}" />
360
+ <original_tokenizer_class value="&lt;class 'transformers.models.bert.tokenization_bert_fast.BertTokenizerFast'>" />
361
+ <pad_token_id value="0" />
362
+ <processed_post_processor_template value="{&quot;single&quot;: {&quot;ids&quot;: [101, -1, 102], &quot;type_ids&quot;: [0, 0, 0]}, &quot;pair&quot;: {&quot;ids&quot;: [101, -1, 102, -2, 102], &quot;type_ids&quot;: [0, 0, 0, 1, 1]}}" />
363
+ <sentencepiece_version value="0.2.0" />
364
+ <skip_special_tokens value="True" />
365
+ <streaming_detokenizer value="False" />
366
+ <tiktoken_version value="0.9.0" />
367
+ <tokenizer_output_type value="i64" />
368
+ <tokenizers_version value="0.21.1" />
369
+ <transformers_version value="4.51.3" />
370
+ <use_max_padding value="False" />
371
+ <use_sentencepiece_backend value="False" />
372
+ <utf8_replace_mode value="replace" />
373
+ <with_detokenizer value="True" />
374
+ </rt_info>
375
+ </net>
openvino_tokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05e6f0b32909876ca9f1d03dd036db83f77ebb7b83bff7c5ee4d1ac5a8fdca89
3
+ size 445519
openvino_tokenizer.xml ADDED
@@ -0,0 +1,953 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="tokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_10604" type="Parameter" version="opset1">
5
+ <data shape="?" element_type="string" />
6
+ <output>
7
+ <port id="0" precision="STRING" names="Parameter_10604">
8
+ <dim>-1</dim>
9
+ </port>
10
+ </output>
11
+ </layer>
12
+ <layer id="1" name="Constant_10710" type="Const" version="opset1">
13
+ <data element_type="i32" shape="" offset="0" size="4" />
14
+ <output>
15
+ <port id="0" precision="I32" />
16
+ </output>
17
+ </layer>
18
+ <layer id="2" name="Constant_10711" type="Const" version="opset1">
19
+ <data element_type="i32" shape="" offset="4" size="4" />
20
+ <output>
21
+ <port id="0" precision="I32" />
22
+ </output>
23
+ </layer>
24
+ <layer id="3" name="Constant_10712" type="Const" version="opset1">
25
+ <data element_type="i32" shape="1" offset="8" size="4" />
26
+ <output>
27
+ <port id="0" precision="I32">
28
+ <dim>1</dim>
29
+ </port>
30
+ </output>
31
+ </layer>
32
+ <layer id="4" name="Constant_10610" type="Const" version="opset1">
33
+ <data element_type="i64" shape="" offset="12" size="8" />
34
+ <output>
35
+ <port id="0" precision="I64" />
36
+ </output>
37
+ </layer>
38
+ <layer id="5" name="StringTensorUnpack_10605" type="StringTensorUnpack" version="opset15">
39
+ <input>
40
+ <port id="0" precision="STRING">
41
+ <dim>-1</dim>
42
+ </port>
43
+ </input>
44
+ <output>
45
+ <port id="1" precision="I32">
46
+ <dim>-1</dim>
47
+ </port>
48
+ <port id="2" precision="I32">
49
+ <dim>-1</dim>
50
+ </port>
51
+ <port id="3" precision="U8">
52
+ <dim>-1</dim>
53
+ </port>
54
+ </output>
55
+ </layer>
56
+ <layer id="6" name="ShapeOf_10606" type="ShapeOf" version="opset3">
57
+ <data output_type="i64" />
58
+ <input>
59
+ <port id="0" precision="I32">
60
+ <dim>-1</dim>
61
+ </port>
62
+ </input>
63
+ <output>
64
+ <port id="1" precision="I64">
65
+ <dim>1</dim>
66
+ </port>
67
+ </output>
68
+ </layer>
69
+ <layer id="7" name="Constant_10607" type="Const" version="opset1">
70
+ <data element_type="i64" shape="" offset="12" size="8" />
71
+ <output>
72
+ <port id="0" precision="I64" />
73
+ </output>
74
+ </layer>
75
+ <layer id="8" name="Constant_10608" type="Const" version="opset1">
76
+ <data element_type="i64" shape="" offset="12" size="8" />
77
+ <output>
78
+ <port id="0" precision="I64" />
79
+ </output>
80
+ </layer>
81
+ <layer id="9" name="Gather_10609" type="Gather" version="opset8">
82
+ <data batch_dims="0" />
83
+ <input>
84
+ <port id="0" precision="I64">
85
+ <dim>1</dim>
86
+ </port>
87
+ <port id="1" precision="I64" />
88
+ <port id="2" precision="I64" />
89
+ </input>
90
+ <output>
91
+ <port id="3" precision="I64" />
92
+ </output>
93
+ </layer>
94
+ <layer id="10" name="Constant_10611" type="Const" version="opset1">
95
+ <data element_type="i64" shape="" offset="20" size="8" />
96
+ <output>
97
+ <port id="0" precision="I64" />
98
+ </output>
99
+ </layer>
100
+ <layer id="11" name="Range_10612" type="Range" version="opset4">
101
+ <data output_type="i32" />
102
+ <input>
103
+ <port id="0" precision="I64" />
104
+ <port id="1" precision="I64" />
105
+ <port id="2" precision="I64" />
106
+ </input>
107
+ <output>
108
+ <port id="3" precision="I32">
109
+ <dim>-1</dim>
110
+ </port>
111
+ </output>
112
+ </layer>
113
+ <layer id="12" name="Constant_10613" type="Const" version="opset1">
114
+ <data element_type="i64" shape="" offset="20" size="8" />
115
+ <output>
116
+ <port id="0" precision="I64" />
117
+ </output>
118
+ </layer>
119
+ <layer id="13" name="Constant_10614" type="Const" version="opset1">
120
+ <data element_type="i64" shape="" offset="20" size="8" />
121
+ <output>
122
+ <port id="0" precision="I64" />
123
+ </output>
124
+ </layer>
125
+ <layer id="14" name="Add_10615" type="Add" version="opset1">
126
+ <data auto_broadcast="numpy" />
127
+ <input>
128
+ <port id="0" precision="I64" />
129
+ <port id="1" precision="I64" />
130
+ </input>
131
+ <output>
132
+ <port id="2" precision="I64" />
133
+ </output>
134
+ </layer>
135
+ <layer id="15" name="Constant_10616" type="Const" version="opset1">
136
+ <data element_type="i64" shape="" offset="20" size="8" />
137
+ <output>
138
+ <port id="0" precision="I64" />
139
+ </output>
140
+ </layer>
141
+ <layer id="16" name="Range_10617" type="Range" version="opset4">
142
+ <data output_type="i32" />
143
+ <input>
144
+ <port id="0" precision="I64" />
145
+ <port id="1" precision="I64" />
146
+ <port id="2" precision="I64" />
147
+ </input>
148
+ <output>
149
+ <port id="3" precision="I32">
150
+ <dim>-1</dim>
151
+ </port>
152
+ </output>
153
+ </layer>
154
+ <layer id="17" name="Constant_10679" type="Const" version="opset1">
155
+ <data element_type="u8" shape="50" offset="28" size="50" />
156
+ <output>
157
+ <port id="0" precision="U8">
158
+ <dim>50</dim>
159
+ </port>
160
+ </output>
161
+ </layer>
162
+ <layer id="18" name="SpecialTokensSplit_10680" type="SpecialTokensSplit" version="extension">
163
+ <input>
164
+ <port id="0" precision="I32">
165
+ <dim>-1</dim>
166
+ </port>
167
+ <port id="1" precision="I32">
168
+ <dim>-1</dim>
169
+ </port>
170
+ <port id="2" precision="I32">
171
+ <dim>-1</dim>
172
+ </port>
173
+ <port id="3" precision="I32">
174
+ <dim>-1</dim>
175
+ </port>
176
+ <port id="4" precision="U8">
177
+ <dim>-1</dim>
178
+ </port>
179
+ <port id="5" precision="U8">
180
+ <dim>50</dim>
181
+ </port>
182
+ </input>
183
+ <output>
184
+ <port id="6" precision="I32">
185
+ <dim>-1</dim>
186
+ </port>
187
+ <port id="7" precision="I32">
188
+ <dim>-1</dim>
189
+ </port>
190
+ <port id="8" precision="I32">
191
+ <dim>-1</dim>
192
+ </port>
193
+ <port id="9" precision="I32">
194
+ <dim>-1</dim>
195
+ </port>
196
+ <port id="10" precision="U8">
197
+ <dim>-1</dim>
198
+ </port>
199
+ <port id="11" precision="BOOL">
200
+ <dim>-1</dim>
201
+ </port>
202
+ </output>
203
+ </layer>
204
+ <layer id="19" name="Constant_10682" type="Const" version="opset1">
205
+ <data element_type="u8" shape="39" offset="78" size="39" />
206
+ <output>
207
+ <port id="0" precision="U8">
208
+ <dim>39</dim>
209
+ </port>
210
+ </output>
211
+ </layer>
212
+ <layer id="20" name="Constant_10684" type="Const" version="opset1">
213
+ <data element_type="u8" shape="0" offset="117" size="1" />
214
+ <output>
215
+ <port id="0" precision="U8">
216
+ <dim>0</dim>
217
+ </port>
218
+ </output>
219
+ </layer>
220
+ <layer id="21" name="RegexNormalization_10685" type="RegexNormalization" version="extension">
221
+ <data global_replace="true" />
222
+ <input>
223
+ <port id="0" precision="I32">
224
+ <dim>-1</dim>
225
+ </port>
226
+ <port id="1" precision="I32">
227
+ <dim>-1</dim>
228
+ </port>
229
+ <port id="2" precision="U8">
230
+ <dim>-1</dim>
231
+ </port>
232
+ <port id="3" precision="BOOL">
233
+ <dim>-1</dim>
234
+ </port>
235
+ <port id="4" precision="U8">
236
+ <dim>39</dim>
237
+ </port>
238
+ <port id="5" precision="U8">
239
+ <dim>0</dim>
240
+ </port>
241
+ </input>
242
+ <output>
243
+ <port id="6" precision="I32">
244
+ <dim>-1</dim>
245
+ </port>
246
+ <port id="7" precision="I32">
247
+ <dim>-1</dim>
248
+ </port>
249
+ <port id="8" precision="U8">
250
+ <dim>-1</dim>
251
+ </port>
252
+ <port id="9" precision="BOOL">
253
+ <dim>-1</dim>
254
+ </port>
255
+ </output>
256
+ </layer>
257
+ <layer id="22" name="CharsMapNormalization_10686" type="CharsMapNormalization" version="extension">
258
+ <data add_dummy_prefix="false" remove_extra_whitespaces="false" escape_whitespaces="false" normalization_form="nfd" case_fold="true" nmt="false" />
259
+ <input>
260
+ <port id="0" precision="I32">
261
+ <dim>-1</dim>
262
+ </port>
263
+ <port id="1" precision="I32">
264
+ <dim>-1</dim>
265
+ </port>
266
+ <port id="2" precision="U8">
267
+ <dim>-1</dim>
268
+ </port>
269
+ <port id="3" precision="BOOL">
270
+ <dim>-1</dim>
271
+ </port>
272
+ </input>
273
+ <output>
274
+ <port id="4" precision="I32">
275
+ <dim>-1</dim>
276
+ </port>
277
+ <port id="5" precision="I32">
278
+ <dim>-1</dim>
279
+ </port>
280
+ <port id="6" precision="U8">
281
+ <dim>-1</dim>
282
+ </port>
283
+ <port id="7" precision="BOOL">
284
+ <dim>-1</dim>
285
+ </port>
286
+ </output>
287
+ </layer>
288
+ <layer id="23" name="Constant_10688" type="Const" version="opset1">
289
+ <data element_type="u8" shape="6" offset="118" size="6" />
290
+ <output>
291
+ <port id="0" precision="U8">
292
+ <dim>6</dim>
293
+ </port>
294
+ </output>
295
+ </layer>
296
+ <layer id="24" name="Constant_10690" type="Const" version="opset1">
297
+ <data element_type="u8" shape="0" offset="117" size="1" />
298
+ <output>
299
+ <port id="0" precision="U8">
300
+ <dim>0</dim>
301
+ </port>
302
+ </output>
303
+ </layer>
304
+ <layer id="25" name="RegexNormalization_10691" type="RegexNormalization" version="extension">
305
+ <data global_replace="true" />
306
+ <input>
307
+ <port id="0" precision="I32">
308
+ <dim>-1</dim>
309
+ </port>
310
+ <port id="1" precision="I32">
311
+ <dim>-1</dim>
312
+ </port>
313
+ <port id="2" precision="U8">
314
+ <dim>-1</dim>
315
+ </port>
316
+ <port id="3" precision="BOOL">
317
+ <dim>-1</dim>
318
+ </port>
319
+ <port id="4" precision="U8">
320
+ <dim>6</dim>
321
+ </port>
322
+ <port id="5" precision="U8">
323
+ <dim>0</dim>
324
+ </port>
325
+ </input>
326
+ <output>
327
+ <port id="6" precision="I32">
328
+ <dim>-1</dim>
329
+ </port>
330
+ <port id="7" precision="I32">
331
+ <dim>-1</dim>
332
+ </port>
333
+ <port id="8" precision="U8">
334
+ <dim>-1</dim>
335
+ </port>
336
+ <port id="9" precision="BOOL">
337
+ <dim>-1</dim>
338
+ </port>
339
+ </output>
340
+ </layer>
341
+ <layer id="26" name="Constant_10693" type="Const" version="opset1">
342
+ <data element_type="u8" shape="3" offset="124" size="3" />
343
+ <output>
344
+ <port id="0" precision="U8">
345
+ <dim>3</dim>
346
+ </port>
347
+ </output>
348
+ </layer>
349
+ <layer id="27" name="RegexSplit_10694" type="RegexSplit" version="extension">
350
+ <data behaviour="remove" invert="false" max_splits="-1" />
351
+ <input>
352
+ <port id="0" precision="I32">
353
+ <dim>-1</dim>
354
+ </port>
355
+ <port id="1" precision="I32">
356
+ <dim>-1</dim>
357
+ </port>
358
+ <port id="2" precision="I32">
359
+ <dim>-1</dim>
360
+ </port>
361
+ <port id="3" precision="I32">
362
+ <dim>-1</dim>
363
+ </port>
364
+ <port id="4" precision="U8">
365
+ <dim>-1</dim>
366
+ </port>
367
+ <port id="5" precision="BOOL">
368
+ <dim>-1</dim>
369
+ </port>
370
+ <port id="6" precision="U8">
371
+ <dim>3</dim>
372
+ </port>
373
+ </input>
374
+ <output>
375
+ <port id="7" precision="I32">
376
+ <dim>-1</dim>
377
+ </port>
378
+ <port id="8" precision="I32">
379
+ <dim>-1</dim>
380
+ </port>
381
+ <port id="9" precision="I32">
382
+ <dim>-1</dim>
383
+ </port>
384
+ <port id="10" precision="I32">
385
+ <dim>-1</dim>
386
+ </port>
387
+ <port id="11" precision="U8">
388
+ <dim>-1</dim>
389
+ </port>
390
+ <port id="12" precision="BOOL">
391
+ <dim>-1</dim>
392
+ </port>
393
+ </output>
394
+ </layer>
395
+ <layer id="28" name="Constant_10696" type="Const" version="opset1">
396
+ <data element_type="u8" shape="202" offset="127" size="202" />
397
+ <output>
398
+ <port id="0" precision="U8">
399
+ <dim>202</dim>
400
+ </port>
401
+ </output>
402
+ </layer>
403
+ <layer id="29" name="RegexSplit_10697" type="RegexSplit" version="extension">
404
+ <data behaviour="isolate" invert="false" max_splits="-1" />
405
+ <input>
406
+ <port id="0" precision="I32">
407
+ <dim>-1</dim>
408
+ </port>
409
+ <port id="1" precision="I32">
410
+ <dim>-1</dim>
411
+ </port>
412
+ <port id="2" precision="I32">
413
+ <dim>-1</dim>
414
+ </port>
415
+ <port id="3" precision="I32">
416
+ <dim>-1</dim>
417
+ </port>
418
+ <port id="4" precision="U8">
419
+ <dim>-1</dim>
420
+ </port>
421
+ <port id="5" precision="BOOL">
422
+ <dim>-1</dim>
423
+ </port>
424
+ <port id="6" precision="U8">
425
+ <dim>202</dim>
426
+ </port>
427
+ </input>
428
+ <output>
429
+ <port id="7" precision="I32">
430
+ <dim>-1</dim>
431
+ </port>
432
+ <port id="8" precision="I32">
433
+ <dim>-1</dim>
434
+ </port>
435
+ <port id="9" precision="I32">
436
+ <dim>-1</dim>
437
+ </port>
438
+ <port id="10" precision="I32">
439
+ <dim>-1</dim>
440
+ </port>
441
+ <port id="11" precision="U8">
442
+ <dim>-1</dim>
443
+ </port>
444
+ <port id="12" precision="BOOL">
445
+ <dim>-1</dim>
446
+ </port>
447
+ </output>
448
+ </layer>
449
+ <layer id="30" name="Constant_10699" type="Const" version="opset1">
450
+ <data element_type="i32" shape="30522" offset="329" size="122088" />
451
+ <output>
452
+ <port id="0" precision="I32">
453
+ <dim>30522</dim>
454
+ </port>
455
+ </output>
456
+ </layer>
457
+ <layer id="31" name="Constant_10701" type="Const" version="opset1">
458
+ <data element_type="i32" shape="30522" offset="122417" size="122088" />
459
+ <output>
460
+ <port id="0" precision="I32">
461
+ <dim>30522</dim>
462
+ </port>
463
+ </output>
464
+ </layer>
465
+ <layer id="32" name="Constant_10703" type="Const" version="opset1">
466
+ <data element_type="u8" shape="200986" offset="244505" size="200986" />
467
+ <output>
468
+ <port id="0" precision="U8">
469
+ <dim>200986</dim>
470
+ </port>
471
+ </output>
472
+ </layer>
473
+ <layer id="33" name="Constant_10704" type="Const" version="opset1">
474
+ <data element_type="i64" shape="" offset="445491" size="8" />
475
+ <output>
476
+ <port id="0" precision="I64" />
477
+ </output>
478
+ </layer>
479
+ <layer id="34" name="WordpieceTokenizer_10705" type="WordpieceTokenizer" version="extension">
480
+ <data suffix_indicator="##" max_bytes_per_word="100" />
481
+ <input>
482
+ <port id="0" precision="I32">
483
+ <dim>-1</dim>
484
+ </port>
485
+ <port id="1" precision="I32">
486
+ <dim>-1</dim>
487
+ </port>
488
+ <port id="2" precision="I32">
489
+ <dim>-1</dim>
490
+ </port>
491
+ <port id="3" precision="I32">
492
+ <dim>-1</dim>
493
+ </port>
494
+ <port id="4" precision="U8">
495
+ <dim>-1</dim>
496
+ </port>
497
+ <port id="5" precision="I32">
498
+ <dim>30522</dim>
499
+ </port>
500
+ <port id="6" precision="I32">
501
+ <dim>30522</dim>
502
+ </port>
503
+ <port id="7" precision="U8">
504
+ <dim>200986</dim>
505
+ </port>
506
+ <port id="8" precision="I64" />
507
+ </input>
508
+ <output>
509
+ <port id="9" precision="I32">
510
+ <dim>-1</dim>
511
+ </port>
512
+ <port id="10" precision="I32">
513
+ <dim>-1</dim>
514
+ </port>
515
+ <port id="11" precision="I32">
516
+ <dim>-1</dim>
517
+ </port>
518
+ </output>
519
+ </layer>
520
+ <layer id="35" name="Subtract_10706" type="Subtract" version="opset1">
521
+ <data auto_broadcast="numpy" />
522
+ <input>
523
+ <port id="0" precision="I32">
524
+ <dim>-1</dim>
525
+ </port>
526
+ <port id="1" precision="I32">
527
+ <dim>-1</dim>
528
+ </port>
529
+ </input>
530
+ <output>
531
+ <port id="2" precision="I32">
532
+ <dim>-1</dim>
533
+ </port>
534
+ </output>
535
+ </layer>
536
+ <layer id="36" name="Constant_10707" type="Const" version="opset1">
537
+ <data element_type="i32" shape="" offset="445499" size="4" />
538
+ <output>
539
+ <port id="0" precision="I32" />
540
+ </output>
541
+ </layer>
542
+ <layer id="37" name="Minimum_10708" type="Minimum" version="opset1">
543
+ <data auto_broadcast="numpy" />
544
+ <input>
545
+ <port id="0" precision="I32">
546
+ <dim>-1</dim>
547
+ </port>
548
+ <port id="1" precision="I32" />
549
+ </input>
550
+ <output>
551
+ <port id="2" precision="I32">
552
+ <dim>-1</dim>
553
+ </port>
554
+ </output>
555
+ </layer>
556
+ <layer id="38" name="Add_10709" type="Add" version="opset1">
557
+ <data auto_broadcast="numpy" />
558
+ <input>
559
+ <port id="0" precision="I32">
560
+ <dim>-1</dim>
561
+ </port>
562
+ <port id="1" precision="I32">
563
+ <dim>-1</dim>
564
+ </port>
565
+ </input>
566
+ <output>
567
+ <port id="2" precision="I32">
568
+ <dim>-1</dim>
569
+ </port>
570
+ </output>
571
+ </layer>
572
+ <layer id="39" name="Constant_10713" type="Const" version="opset1">
573
+ <data element_type="i32" shape="" offset="0" size="4" />
574
+ <output>
575
+ <port id="0" precision="I32" />
576
+ </output>
577
+ </layer>
578
+ <layer id="40" name="Constant_10714" type="Const" version="opset1">
579
+ <data element_type="i32" shape="" offset="4" size="4" />
580
+ <output>
581
+ <port id="0" precision="I32" />
582
+ </output>
583
+ </layer>
584
+ <layer id="41" name="Constant_10715" type="Const" version="opset1">
585
+ <data element_type="i32" shape="1" offset="445503" size="4" />
586
+ <output>
587
+ <port id="0" precision="I32">
588
+ <dim>1</dim>
589
+ </port>
590
+ </output>
591
+ </layer>
592
+ <layer id="42" name="Constant_10716" type="Const" version="opset1">
593
+ <data element_type="i32" shape="3" offset="445507" size="12" />
594
+ <output>
595
+ <port id="0" precision="I32">
596
+ <dim>3</dim>
597
+ </port>
598
+ </output>
599
+ </layer>
600
+ <layer id="43" name="CombineSegments_10717" type="CombineSegments" version="extension">
601
+ <input>
602
+ <port id="0" precision="I32" />
603
+ <port id="1" precision="I32" />
604
+ <port id="2" precision="I32">
605
+ <dim>1</dim>
606
+ </port>
607
+ <port id="3" precision="I32">
608
+ <dim>-1</dim>
609
+ </port>
610
+ <port id="4" precision="I32">
611
+ <dim>-1</dim>
612
+ </port>
613
+ <port id="5" precision="I32">
614
+ <dim>-1</dim>
615
+ </port>
616
+ <port id="6" precision="I32" />
617
+ <port id="7" precision="I32" />
618
+ <port id="8" precision="I32">
619
+ <dim>1</dim>
620
+ </port>
621
+ <port id="9" precision="I32">
622
+ <dim>3</dim>
623
+ </port>
624
+ </input>
625
+ <output>
626
+ <port id="10" precision="I32">
627
+ <dim>-1</dim>
628
+ </port>
629
+ <port id="11" precision="I32">
630
+ <dim>-1</dim>
631
+ </port>
632
+ <port id="12" precision="I32">
633
+ <dim>-1</dim>
634
+ </port>
635
+ <port id="13" precision="I32">
636
+ <dim>-1</dim>
637
+ </port>
638
+ <port id="14" precision="I32">
639
+ <dim>-1</dim>
640
+ </port>
641
+ <port id="15" precision="I32">
642
+ <dim>-1</dim>
643
+ </port>
644
+ </output>
645
+ </layer>
646
+ <layer id="44" name="Subtract_10718" type="Subtract" version="opset1">
647
+ <data auto_broadcast="numpy" />
648
+ <input>
649
+ <port id="0" precision="I32">
650
+ <dim>-1</dim>
651
+ </port>
652
+ <port id="1" precision="I32">
653
+ <dim>-1</dim>
654
+ </port>
655
+ </input>
656
+ <output>
657
+ <port id="2" precision="I32">
658
+ <dim>-1</dim>
659
+ </port>
660
+ </output>
661
+ </layer>
662
+ <layer id="45" name="Constant_10719" type="Const" version="opset1">
663
+ <data element_type="i32" shape="" offset="0" size="4" />
664
+ <output>
665
+ <port id="0" precision="I32" />
666
+ </output>
667
+ </layer>
668
+ <layer id="46" name="ReduceMax_10720" type="ReduceMax" version="opset1">
669
+ <data keep_dims="false" />
670
+ <input>
671
+ <port id="0" precision="I32">
672
+ <dim>-1</dim>
673
+ </port>
674
+ <port id="1" precision="I32" />
675
+ </input>
676
+ <output>
677
+ <port id="2" precision="I32" />
678
+ </output>
679
+ </layer>
680
+ <layer id="47" name="Constant_10721" type="Const" version="opset1">
681
+ <data element_type="i32" shape="" offset="0" size="4" />
682
+ <output>
683
+ <port id="0" precision="I32" />
684
+ </output>
685
+ </layer>
686
+ <layer id="48" name="RaggedToDense_10722" type="RaggedToDense" version="extension">
687
+ <data pad_right="true" m_pad_max_length="false" />
688
+ <input>
689
+ <port id="0" precision="I32">
690
+ <dim>-1</dim>
691
+ </port>
692
+ <port id="1" precision="I32">
693
+ <dim>-1</dim>
694
+ </port>
695
+ <port id="2" precision="I32">
696
+ <dim>-1</dim>
697
+ </port>
698
+ <port id="3" precision="I32" />
699
+ <port id="4" precision="I32" />
700
+ </input>
701
+ <output>
702
+ <port id="5" precision="I32">
703
+ <dim>-1</dim>
704
+ <dim>-1</dim>
705
+ </port>
706
+ <port id="6" precision="BOOL">
707
+ <dim>-1</dim>
708
+ <dim>-1</dim>
709
+ </port>
710
+ </output>
711
+ </layer>
712
+ <layer id="49" name="Convert_10723" type="Convert" version="opset1">
713
+ <data destination_type="i32" />
714
+ <input>
715
+ <port id="0" precision="BOOL">
716
+ <dim>-1</dim>
717
+ <dim>-1</dim>
718
+ </port>
719
+ </input>
720
+ <output>
721
+ <port id="1" precision="I32">
722
+ <dim>-1</dim>
723
+ <dim>-1</dim>
724
+ </port>
725
+ </output>
726
+ </layer>
727
+ <layer id="50" name="Convert_10723.0" type="Convert" version="opset1">
728
+ <data destination_type="i64" />
729
+ <input>
730
+ <port id="0" precision="I32">
731
+ <dim>-1</dim>
732
+ <dim>-1</dim>
733
+ </port>
734
+ </input>
735
+ <output>
736
+ <port id="1" precision="I64" names="attention_mask">
737
+ <dim>-1</dim>
738
+ <dim>-1</dim>
739
+ </port>
740
+ </output>
741
+ </layer>
742
+ <layer id="52" name="Constant_10724" type="Const" version="opset1">
743
+ <data element_type="i32" shape="" offset="0" size="4" />
744
+ <output>
745
+ <port id="0" precision="I32" />
746
+ </output>
747
+ </layer>
748
+ <layer id="53" name="RaggedToDense_10725" type="RaggedToDense" version="extension">
749
+ <data pad_right="true" m_pad_max_length="false" />
750
+ <input>
751
+ <port id="0" precision="I32">
752
+ <dim>-1</dim>
753
+ </port>
754
+ <port id="1" precision="I32">
755
+ <dim>-1</dim>
756
+ </port>
757
+ <port id="2" precision="I32">
758
+ <dim>-1</dim>
759
+ </port>
760
+ <port id="3" precision="I32" />
761
+ <port id="4" precision="I32" />
762
+ </input>
763
+ <output>
764
+ <port id="5" precision="I32">
765
+ <dim>-1</dim>
766
+ <dim>-1</dim>
767
+ </port>
768
+ <port id="6" precision="BOOL">
769
+ <dim>-1</dim>
770
+ <dim>-1</dim>
771
+ </port>
772
+ </output>
773
+ </layer>
774
+ <layer id="54" name="RaggedToDense_10725.0" type="Convert" version="opset1">
775
+ <data destination_type="i64" />
776
+ <input>
777
+ <port id="0" precision="I32">
778
+ <dim>-1</dim>
779
+ <dim>-1</dim>
780
+ </port>
781
+ </input>
782
+ <output>
783
+ <port id="1" precision="I64" names="token_type_ids">
784
+ <dim>-1</dim>
785
+ <dim>-1</dim>
786
+ </port>
787
+ </output>
788
+ </layer>
789
+ <layer id="56" name="RaggedToDense_10722.0" type="Convert" version="opset1">
790
+ <data destination_type="i64" />
791
+ <input>
792
+ <port id="0" precision="I32">
793
+ <dim>-1</dim>
794
+ <dim>-1</dim>
795
+ </port>
796
+ </input>
797
+ <output>
798
+ <port id="1" precision="I64" names="input_ids">
799
+ <dim>-1</dim>
800
+ <dim>-1</dim>
801
+ </port>
802
+ </output>
803
+ </layer>
804
+ <layer id="57" name="Result_10726" type="Result" version="opset1" output_names="input_ids">
805
+ <input>
806
+ <port id="0" precision="I64">
807
+ <dim>-1</dim>
808
+ <dim>-1</dim>
809
+ </port>
810
+ </input>
811
+ </layer>
812
+ <layer id="55" name="Result_10727" type="Result" version="opset1" output_names="token_type_ids">
813
+ <input>
814
+ <port id="0" precision="I64">
815
+ <dim>-1</dim>
816
+ <dim>-1</dim>
817
+ </port>
818
+ </input>
819
+ </layer>
820
+ <layer id="51" name="Result_10728" type="Result" version="opset1" output_names="attention_mask">
821
+ <input>
822
+ <port id="0" precision="I64">
823
+ <dim>-1</dim>
824
+ <dim>-1</dim>
825
+ </port>
826
+ </input>
827
+ </layer>
828
+ </layers>
829
+ <edges>
830
+ <edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
831
+ <edge from-layer="1" from-port="0" to-layer="43" to-port="0" />
832
+ <edge from-layer="2" from-port="0" to-layer="43" to-port="1" />
833
+ <edge from-layer="3" from-port="0" to-layer="43" to-port="2" />
834
+ <edge from-layer="4" from-port="0" to-layer="11" to-port="0" />
835
+ <edge from-layer="5" from-port="1" to-layer="6" to-port="0" />
836
+ <edge from-layer="5" from-port="3" to-layer="18" to-port="4" />
837
+ <edge from-layer="5" from-port="2" to-layer="18" to-port="3" />
838
+ <edge from-layer="5" from-port="1" to-layer="18" to-port="2" />
839
+ <edge from-layer="6" from-port="1" to-layer="9" to-port="0" />
840
+ <edge from-layer="7" from-port="0" to-layer="9" to-port="1" />
841
+ <edge from-layer="8" from-port="0" to-layer="9" to-port="2" />
842
+ <edge from-layer="9" from-port="3" to-layer="14" to-port="0" />
843
+ <edge from-layer="9" from-port="3" to-layer="11" to-port="1" />
844
+ <edge from-layer="10" from-port="0" to-layer="11" to-port="2" />
845
+ <edge from-layer="11" from-port="3" to-layer="18" to-port="0" />
846
+ <edge from-layer="12" from-port="0" to-layer="16" to-port="0" />
847
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="1" />
848
+ <edge from-layer="14" from-port="2" to-layer="16" to-port="1" />
849
+ <edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
850
+ <edge from-layer="16" from-port="3" to-layer="18" to-port="1" />
851
+ <edge from-layer="17" from-port="0" to-layer="18" to-port="5" />
852
+ <edge from-layer="18" from-port="6" to-layer="27" to-port="0" />
853
+ <edge from-layer="18" from-port="7" to-layer="27" to-port="1" />
854
+ <edge from-layer="18" from-port="11" to-layer="21" to-port="3" />
855
+ <edge from-layer="18" from-port="10" to-layer="21" to-port="2" />
856
+ <edge from-layer="18" from-port="9" to-layer="21" to-port="1" />
857
+ <edge from-layer="18" from-port="8" to-layer="21" to-port="0" />
858
+ <edge from-layer="19" from-port="0" to-layer="21" to-port="4" />
859
+ <edge from-layer="20" from-port="0" to-layer="21" to-port="5" />
860
+ <edge from-layer="21" from-port="8" to-layer="22" to-port="2" />
861
+ <edge from-layer="21" from-port="9" to-layer="22" to-port="3" />
862
+ <edge from-layer="21" from-port="7" to-layer="22" to-port="1" />
863
+ <edge from-layer="21" from-port="6" to-layer="22" to-port="0" />
864
+ <edge from-layer="22" from-port="6" to-layer="25" to-port="2" />
865
+ <edge from-layer="22" from-port="7" to-layer="25" to-port="3" />
866
+ <edge from-layer="22" from-port="5" to-layer="25" to-port="1" />
867
+ <edge from-layer="22" from-port="4" to-layer="25" to-port="0" />
868
+ <edge from-layer="23" from-port="0" to-layer="25" to-port="4" />
869
+ <edge from-layer="24" from-port="0" to-layer="25" to-port="5" />
870
+ <edge from-layer="25" from-port="6" to-layer="27" to-port="2" />
871
+ <edge from-layer="25" from-port="7" to-layer="27" to-port="3" />
872
+ <edge from-layer="25" from-port="8" to-layer="27" to-port="4" />
873
+ <edge from-layer="25" from-port="9" to-layer="27" to-port="5" />
874
+ <edge from-layer="26" from-port="0" to-layer="27" to-port="6" />
875
+ <edge from-layer="27" from-port="12" to-layer="29" to-port="5" />
876
+ <edge from-layer="27" from-port="10" to-layer="29" to-port="3" />
877
+ <edge from-layer="27" from-port="11" to-layer="29" to-port="4" />
878
+ <edge from-layer="27" from-port="7" to-layer="29" to-port="0" />
879
+ <edge from-layer="27" from-port="8" to-layer="29" to-port="1" />
880
+ <edge from-layer="27" from-port="9" to-layer="29" to-port="2" />
881
+ <edge from-layer="28" from-port="0" to-layer="29" to-port="6" />
882
+ <edge from-layer="29" from-port="10" to-layer="34" to-port="3" />
883
+ <edge from-layer="29" from-port="11" to-layer="34" to-port="4" />
884
+ <edge from-layer="29" from-port="7" to-layer="34" to-port="0" />
885
+ <edge from-layer="29" from-port="8" to-layer="34" to-port="1" />
886
+ <edge from-layer="29" from-port="9" to-layer="34" to-port="2" />
887
+ <edge from-layer="30" from-port="0" to-layer="34" to-port="5" />
888
+ <edge from-layer="31" from-port="0" to-layer="34" to-port="6" />
889
+ <edge from-layer="32" from-port="0" to-layer="34" to-port="7" />
890
+ <edge from-layer="33" from-port="0" to-layer="34" to-port="8" />
891
+ <edge from-layer="34" from-port="9" to-layer="43" to-port="3" />
892
+ <edge from-layer="34" from-port="11" to-layer="43" to-port="5" />
893
+ <edge from-layer="34" from-port="9" to-layer="38" to-port="0" />
894
+ <edge from-layer="34" from-port="9" to-layer="35" to-port="1" />
895
+ <edge from-layer="34" from-port="10" to-layer="35" to-port="0" />
896
+ <edge from-layer="35" from-port="2" to-layer="37" to-port="0" />
897
+ <edge from-layer="36" from-port="0" to-layer="37" to-port="1" />
898
+ <edge from-layer="37" from-port="2" to-layer="38" to-port="1" />
899
+ <edge from-layer="38" from-port="2" to-layer="43" to-port="4" />
900
+ <edge from-layer="39" from-port="0" to-layer="43" to-port="6" />
901
+ <edge from-layer="40" from-port="0" to-layer="43" to-port="7" />
902
+ <edge from-layer="41" from-port="0" to-layer="43" to-port="8" />
903
+ <edge from-layer="42" from-port="0" to-layer="43" to-port="9" />
904
+ <edge from-layer="43" from-port="15" to-layer="53" to-port="2" />
905
+ <edge from-layer="43" from-port="14" to-layer="53" to-port="1" />
906
+ <edge from-layer="43" from-port="13" to-layer="53" to-port="0" />
907
+ <edge from-layer="43" from-port="12" to-layer="48" to-port="2" />
908
+ <edge from-layer="43" from-port="11" to-layer="48" to-port="1" />
909
+ <edge from-layer="43" from-port="10" to-layer="48" to-port="0" />
910
+ <edge from-layer="43" from-port="10" to-layer="44" to-port="1" />
911
+ <edge from-layer="43" from-port="11" to-layer="44" to-port="0" />
912
+ <edge from-layer="44" from-port="2" to-layer="46" to-port="0" />
913
+ <edge from-layer="45" from-port="0" to-layer="46" to-port="1" />
914
+ <edge from-layer="46" from-port="2" to-layer="48" to-port="3" />
915
+ <edge from-layer="46" from-port="2" to-layer="53" to-port="3" />
916
+ <edge from-layer="47" from-port="0" to-layer="48" to-port="4" />
917
+ <edge from-layer="48" from-port="5" to-layer="56" to-port="0" />
918
+ <edge from-layer="48" from-port="6" to-layer="49" to-port="0" />
919
+ <edge from-layer="49" from-port="1" to-layer="50" to-port="0" />
920
+ <edge from-layer="50" from-port="1" to-layer="51" to-port="0" />
921
+ <edge from-layer="52" from-port="0" to-layer="53" to-port="4" />
922
+ <edge from-layer="53" from-port="5" to-layer="54" to-port="0" />
923
+ <edge from-layer="54" from-port="1" to-layer="55" to-port="0" />
924
+ <edge from-layer="56" from-port="1" to-layer="57" to-port="0" />
925
+ </edges>
926
+ <rt_info>
927
+ <add_attention_mask value="True" />
928
+ <add_prefix_space />
929
+ <add_special_tokens value="True" />
930
+ <clean_up_tokenization_spaces />
931
+ <detokenizer_input_type value="i64" />
932
+ <handle_special_tokens_with_re />
933
+ <max_length />
934
+ <number_of_inputs value="1" />
935
+ <openvino_tokenizers_version value="2025.1.0.0-523-710ddf14de8" />
936
+ <openvino_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" />
937
+ <original_post_processor_template value="{&quot;type&quot;: &quot;TemplateProcessing&quot;, &quot;single&quot;: [{&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[CLS]&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;type_id&quot;: 0}}], &quot;pair&quot;: [{&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[CLS]&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;B&quot;, &quot;type_id&quot;: 1}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;type_id&quot;: 1}}], &quot;special_tokens&quot;: {&quot;[CLS]&quot;: {&quot;id&quot;: &quot;[CLS]&quot;, &quot;ids&quot;: [101], &quot;tokens&quot;: [&quot;[CLS]&quot;]}, &quot;[SEP]&quot;: {&quot;id&quot;: &quot;[SEP]&quot;, &quot;ids&quot;: [102], &quot;tokens&quot;: [&quot;[SEP]&quot;]}}}" />
938
+ <original_tokenizer_class value="&lt;class 'transformers.models.bert.tokenization_bert_fast.BertTokenizerFast'>" />
939
+ <pad_token_id value="0" />
940
+ <processed_post_processor_template value="{&quot;single&quot;: {&quot;ids&quot;: [101, -1, 102], &quot;type_ids&quot;: [0, 0, 0]}, &quot;pair&quot;: {&quot;ids&quot;: [101, -1, 102, -2, 102], &quot;type_ids&quot;: [0, 0, 0, 1, 1]}}" />
941
+ <sentencepiece_version value="0.2.0" />
942
+ <skip_special_tokens value="True" />
943
+ <streaming_detokenizer value="False" />
944
+ <tiktoken_version value="0.9.0" />
945
+ <tokenizer_output_type value="i64" />
946
+ <tokenizers_version value="0.21.1" />
947
+ <transformers_version value="4.51.3" />
948
+ <use_max_padding value="False" />
949
+ <use_sentencepiece_backend value="False" />
950
+ <utf8_replace_mode value="replace" />
951
+ <with_detokenizer value="True" />
952
+ </rt_info>
953
+ </net>