Text Classification
Transformers
Safetensors
English
bert
multi-text-classification
classification
intent-classification
intent-detection
nlp
natural-language-processing
edge-ai
iot
smart-home
location-intelligence
voice-assistant
conversational-ai
real-time
boltuix
neurobert
local-search
business-category-classification
fast-inference
lightweight-model
on-device-nlp
offline-nlp
mobile-ai
multilingual-nlp
intent-routing
category-detection
query-understanding
artificial-intelligence
assistant-ai
smart-cities
customer-support
productivity-tools
contextual-ai
semantic-search
user-intent
microservices
smart-query-routing
industry-application
aiops
domain-specific-nlp
location-aware-ai
intelligent-routing
edge-nlp
smart-query-classifier
zero-shot-classification
smart-search
location-awareness
contextual-intelligence
geolocation
query-classification
multilingual-intent
chatbot-nlp
enterprise-ai
sdk-integration
api-ready
developer-tools
real-world-ai
geo-intelligence
embedded-ai
smart-routing
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smart-devices
contextual-routing
fast-nlp
data-driven-ai
inference-optimization
digital-assistants
neural-nlp
ai-automation
lightweight-transformers
Upload 5 files
Browse files- config.json +273 -0
- model.safetensors +3 -0
- special_tokens_map.json +37 -0
- tokenizer_config.json +58 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"id2label": {
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"0": "accounting firm",
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"1": "airport",
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"2": "amusement park",
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"3": "aquarium",
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"4": "art gallery",
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"5": "atm",
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"6": "auto dealership",
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"7": "auto repair shop",
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"8": "bakery",
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"9": "bank",
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"10": "bar",
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"11": "barber shop",
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"12": "beach",
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"13": "bicycle store",
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"14": "book store",
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"15": "bowling alley",
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"16": "bus station",
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"17": "butcher shop",
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"18": "cafe",
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"19": "camera store",
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"20": "campground",
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"21": "car rental",
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"22": "car wash",
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"23": "casino",
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"24": "cemetery",
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"25": "church",
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"26": "city hall",
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"27": "clinic",
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"28": "clothing store",
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"29": "coffee shop",
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"30": "convenience store",
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"31": "cooking school",
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"32": "copy center",
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"33": "courier service",
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"34": "courthouse",
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"35": "craft store",
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"36": "dance studio",
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"37": "dentist",
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"38": "department store",
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"39": "doctor's office",
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"40": "drugstore",
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"41": "dry cleaner",
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"42": "electrician",
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"43": "electronics store",
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"44": "elementary school",
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"45": "embassy",
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"46": "fire station",
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"47": "florist",
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"48": "flower shop",
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"49": "funeral home",
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"50": "furniture store",
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"51": "gaming center",
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"52": "gardening service",
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"53": "gift shop",
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"54": "government office",
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"55": "grocery store",
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"56": "gym",
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"57": "hair salon",
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"58": "handyman",
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"59": "hardware store",
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"60": "hindu temple",
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"61": "home goods store",
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"62": "hospital",
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"63": "hotel",
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"64": "house cleaning",
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"65": "insurance agency",
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"66": "internet cafe",
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"67": "jewelry store",
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"68": "language school",
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"69": "laundromat",
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"70": "lawyer",
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"71": "library",
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"72": "light rail station",
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"73": "locksmith",
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"74": "lodging",
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"75": "market",
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"76": "meal delivery service",
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"77": "mosque",
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"78": "movie theater",
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"79": "moving company",
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"80": "museum",
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"81": "music school",
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"82": "music store",
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"83": "nail salon",
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"84": "night club",
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"85": "nursery",
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"86": "office supply store",
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"87": "park",
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"88": "pest control service",
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"89": "pet grooming",
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"90": "pet store",
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"91": "pharmacy",
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"92": "photography studio",
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"93": "physiotherapist",
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"94": "piercing shop",
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"95": "plumbing service",
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"96": "police station",
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"97": "public library",
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"98": "public restroom",
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"99": "restaurant",
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"100": "roofing contractor",
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"101": "shipping center",
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"102": "shoe store",
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"103": "shopping mall",
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"104": "skating rink",
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"105": "spa",
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"106": "sport store",
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"107": "stadium",
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"108": "stationary store",
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"109": "storage facility",
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"110": "swimming pool",
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"111": "synagogue",
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"112": "tailor",
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"113": "tire shop",
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"114": "tourist attraction",
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"115": "toy store",
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"116": "train station",
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"117": "travel agency",
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"118": "university",
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"119": "wine shop",
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"120": "yoga studio",
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"121": "zoo"
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},
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"initializer_range": 0.02,
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+
"intermediate_size": 1024,
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136 |
+
"label2id": {
|
137 |
+
"accounting firm": 0,
|
138 |
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"airport": 1,
|
139 |
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"amusement park": 2,
|
140 |
+
"aquarium": 3,
|
141 |
+
"art gallery": 4,
|
142 |
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"atm": 5,
|
143 |
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"auto dealership": 6,
|
144 |
+
"auto repair shop": 7,
|
145 |
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"bakery": 8,
|
146 |
+
"bank": 9,
|
147 |
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"bar": 10,
|
148 |
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"barber shop": 11,
|
149 |
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"beach": 12,
|
150 |
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"bicycle store": 13,
|
151 |
+
"book store": 14,
|
152 |
+
"bowling alley": 15,
|
153 |
+
"bus station": 16,
|
154 |
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"butcher shop": 17,
|
155 |
+
"cafe": 18,
|
156 |
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"camera store": 19,
|
157 |
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"campground": 20,
|
158 |
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"car rental": 21,
|
159 |
+
"car wash": 22,
|
160 |
+
"casino": 23,
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161 |
+
"cemetery": 24,
|
162 |
+
"church": 25,
|
163 |
+
"city hall": 26,
|
164 |
+
"clinic": 27,
|
165 |
+
"clothing store": 28,
|
166 |
+
"coffee shop": 29,
|
167 |
+
"convenience store": 30,
|
168 |
+
"cooking school": 31,
|
169 |
+
"copy center": 32,
|
170 |
+
"courier service": 33,
|
171 |
+
"courthouse": 34,
|
172 |
+
"craft store": 35,
|
173 |
+
"dance studio": 36,
|
174 |
+
"dentist": 37,
|
175 |
+
"department store": 38,
|
176 |
+
"doctor's office": 39,
|
177 |
+
"drugstore": 40,
|
178 |
+
"dry cleaner": 41,
|
179 |
+
"electrician": 42,
|
180 |
+
"electronics store": 43,
|
181 |
+
"elementary school": 44,
|
182 |
+
"embassy": 45,
|
183 |
+
"fire station": 46,
|
184 |
+
"florist": 47,
|
185 |
+
"flower shop": 48,
|
186 |
+
"funeral home": 49,
|
187 |
+
"furniture store": 50,
|
188 |
+
"gaming center": 51,
|
189 |
+
"gardening service": 52,
|
190 |
+
"gift shop": 53,
|
191 |
+
"government office": 54,
|
192 |
+
"grocery store": 55,
|
193 |
+
"gym": 56,
|
194 |
+
"hair salon": 57,
|
195 |
+
"handyman": 58,
|
196 |
+
"hardware store": 59,
|
197 |
+
"hindu temple": 60,
|
198 |
+
"home goods store": 61,
|
199 |
+
"hospital": 62,
|
200 |
+
"hotel": 63,
|
201 |
+
"house cleaning": 64,
|
202 |
+
"insurance agency": 65,
|
203 |
+
"internet cafe": 66,
|
204 |
+
"jewelry store": 67,
|
205 |
+
"language school": 68,
|
206 |
+
"laundromat": 69,
|
207 |
+
"lawyer": 70,
|
208 |
+
"library": 71,
|
209 |
+
"light rail station": 72,
|
210 |
+
"locksmith": 73,
|
211 |
+
"lodging": 74,
|
212 |
+
"market": 75,
|
213 |
+
"meal delivery service": 76,
|
214 |
+
"mosque": 77,
|
215 |
+
"movie theater": 78,
|
216 |
+
"moving company": 79,
|
217 |
+
"museum": 80,
|
218 |
+
"music school": 81,
|
219 |
+
"music store": 82,
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220 |
+
"nail salon": 83,
|
221 |
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"night club": 84,
|
222 |
+
"nursery": 85,
|
223 |
+
"office supply store": 86,
|
224 |
+
"park": 87,
|
225 |
+
"pest control service": 88,
|
226 |
+
"pet grooming": 89,
|
227 |
+
"pet store": 90,
|
228 |
+
"pharmacy": 91,
|
229 |
+
"photography studio": 92,
|
230 |
+
"physiotherapist": 93,
|
231 |
+
"piercing shop": 94,
|
232 |
+
"plumbing service": 95,
|
233 |
+
"police station": 96,
|
234 |
+
"public library": 97,
|
235 |
+
"public restroom": 98,
|
236 |
+
"restaurant": 99,
|
237 |
+
"roofing contractor": 100,
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238 |
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"shipping center": 101,
|
239 |
+
"shoe store": 102,
|
240 |
+
"shopping mall": 103,
|
241 |
+
"skating rink": 104,
|
242 |
+
"spa": 105,
|
243 |
+
"sport store": 106,
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244 |
+
"stadium": 107,
|
245 |
+
"stationary store": 108,
|
246 |
+
"storage facility": 109,
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247 |
+
"swimming pool": 110,
|
248 |
+
"synagogue": 111,
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249 |
+
"tailor": 112,
|
250 |
+
"tire shop": 113,
|
251 |
+
"tourist attraction": 114,
|
252 |
+
"toy store": 115,
|
253 |
+
"train station": 116,
|
254 |
+
"travel agency": 117,
|
255 |
+
"university": 118,
|
256 |
+
"wine shop": 119,
|
257 |
+
"yoga studio": 120,
|
258 |
+
"zoo": 121
|
259 |
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},
|
260 |
+
"layer_norm_eps": 1e-12,
|
261 |
+
"max_position_embeddings": 512,
|
262 |
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"model_type": "bert",
|
263 |
+
"num_attention_heads": 4,
|
264 |
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"num_hidden_layers": 8,
|
265 |
+
"pad_token_id": 0,
|
266 |
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"position_embedding_type": "absolute",
|
267 |
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"problem_type": "single_label_classification",
|
268 |
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"torch_dtype": "float32",
|
269 |
+
"transformers_version": "4.51.3",
|
270 |
+
"type_vocab_size": 2,
|
271 |
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"use_cache": true,
|
272 |
+
"vocab_size": 30522
|
273 |
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}
|
model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:89edd9c905266e3a0a780543e564e04d32ee87f54ac46add3f38dfd47ee1f8ff
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size 57459536
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special_tokens_map.json
ADDED
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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6 |
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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11 |
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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18 |
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"lstrip": false,
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19 |
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"normalized": false,
|
20 |
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"rstrip": false,
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21 |
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"single_word": false
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},
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"sep_token": {
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24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
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|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": true,
|
48 |
+
"extra_special_tokens": {},
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"model_max_length": 1000000000000000019884624838656,
|
51 |
+
"never_split": null,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"strip_accents": null,
|
55 |
+
"tokenize_chinese_chars": true,
|
56 |
+
"tokenizer_class": "BertTokenizer",
|
57 |
+
"unk_token": "[UNK]"
|
58 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|