initial files
Browse files- README.md +70 -0
- tokenizer.json +249 -0
- tokenizer_config.json +43 -0
- w2p_bart.onnx +3 -0
README.md
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### How to load the model and run inferences
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Download all the files to a local directory ```model_dir```
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#### Initiate ONNX Session
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```python
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from torch.onnx import export
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import onnxruntime as ort
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from transformers import PreTrainedTokenizerFast
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session = ort.InferenceSession("w2p_bart.onnx")
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tokenizer = PreTrainedTokenizerFast.from_pretrained(model_dir)
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bos_token_id = tokenizer.bos_token_id
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eos_token_id = tokenizer.eos_token_id
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```
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#### Batch Inference
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```python
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def g2p_onnx_batch(text, max_len=16):
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# 1. Preprocess: tokenize and space-out characters
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words = text.strip().split()
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spaced_words = [" ".join(list(word)) for word in words]
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encoded = tokenizer(spaced_words, return_tensors="np", padding=True, truncation=True, max_length=32)
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input_ids = encoded["input_ids"]
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attention_mask = encoded["attention_mask"]
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batch_size = input_ids.shape[0]
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decoder_input_ids = np.full((batch_size, 1), bos_token_id, dtype=np.int64)
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finished = np.zeros(batch_size, dtype=bool)
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for _ in range(max_len):
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ort_inputs = {
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"input_ids": input_ids,
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"attention_mask": attention_mask,
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"decoder_input_ids": decoder_input_ids
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}
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logits = session.run(["logits"], ort_inputs)[0]
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next_token_logits = logits[:, -1, :]
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next_token_ids = np.argmax(next_token_logits, axis=-1)
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decoder_input_ids = np.concatenate([decoder_input_ids, next_token_ids[:, None]], axis=1)
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finished |= (next_token_ids == eos_token_id)
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if finished.all():
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break
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decoded = tokenizer.batch_decode(decoder_input_ids, skip_special_tokens=True)
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phonemes = [r.replace(" ", "") for r in decoded]
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return " ".join(phonemes)
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```
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Example:
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```python
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result = g2p_onnx_batch("banana apple question")
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print(result)
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```
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This should return:
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```python
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bənˈænə ˈæpᵊl kwˈɛsʧᵊn
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```
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tokenizer.json
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{
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 32,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 1,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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{
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"id": 0,
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"content": "<unk>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "<pad>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 2,
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"content": "<s>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 3,
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"content": "</s>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": null,
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"pre_tokenizer": {
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"type": "Whitespace"
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},
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"post_processor": null,
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"decoder": null,
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"model": {
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"type": "WordLevel",
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"vocab": {
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"<unk>": 0,
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"<pad>": 1,
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"<s>": 2,
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"</s>": 3,
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"Ó": 4,
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"ł": 5,
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"ɔ": 6,
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"ᵻ": 7,
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"Q": 8,
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"h": 9,
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"F": 10,
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"f": 11,
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"J": 12,
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"¹": 13,
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"*": 14,
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"\"": 15,
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"@": 16,
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"©": 17,
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"õ": 18,
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"t": 19,
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"b": 20,
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"!": 21,
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"M": 22,
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"_": 23,
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"Ö": 24,
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"£": 25,
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"c": 26,
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"T": 27,
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"n": 28,
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"C": 29,
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"Â": 30,
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"ö": 31,
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"ɡ": 32,
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"u": 33,
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"7": 34,
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"ˌ": 35,
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"′": 36,
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"松": 37,
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"石": 38,
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"é": 39,
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"X": 40,
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",": 41,
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"$": 42,
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"ú": 43,
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"‑": 44,
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"ü": 45,
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"s": 46,
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"ô": 47,
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"[": 48,
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"?": 49,
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"j": 50,
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"ə": 51,
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"ʤ": 52,
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"ñ": 53,
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"B": 54,
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"å": 55,
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"ř": 56,
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"G": 57,
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"I": 58,
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"o": 59,
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"0": 60,
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"^": 61,
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"‚": 62,
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".": 63,
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"6": 64,
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"8": 65,
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"Ћ": 66,
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"/": 67,
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"+": 68,
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"—": 69,
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"ù": 70,
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"g": 71,
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"=": 73,
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"″": 76,
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"R": 79,
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"’": 80,
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"½": 81,
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">": 82,
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"v": 83,
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"紅": 84,
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"r": 85,
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"": 86,
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"V": 87,
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"ó": 88,
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"a": 89,
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"#": 90,
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"Y": 91,
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"ø": 94,
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"y": 95,
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"": 96,
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"ɹ": 97,
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"(": 98,
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"…": 99,
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"ᵊ": 100,
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"π": 101,
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"]": 102,
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"d": 103,
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"ç": 104,
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"2": 105,
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"L": 106,
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"ɕ": 107,
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"á": 108,
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"D": 109,
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"à": 110,
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"": 111,
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"m": 112,
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"€": 113,
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"˚": 114,
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"ã": 115,
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"ä": 116,
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"z": 117,
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"S": 118,
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"”": 120,
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"E": 121,
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"ʧ": 122,
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"l": 123,
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"ð": 124,
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"Ã": 125,
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"'": 126,
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"ê": 127,
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"H": 128,
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"Á": 129,
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"-": 130,
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"U": 131,
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"綠": 132,
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"e": 133,
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"N": 134,
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"1": 135,
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"ɐ": 136,
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"鮭": 137,
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"3": 138,
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")": 139,
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"è": 140,
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"í": 141,
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"藍": 142,
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"i": 143,
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"5": 144,
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"A": 145,
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"ɪ": 146,
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"%": 147,
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"ʃ": 148,
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"9": 149,
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"w": 150,
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"ʒ": 151,
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"ë": 152,
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"ˈ": 153,
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"k": 154,
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"O": 155,
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"W": 156,
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"ɛ": 157,
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"Ä": 158,
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"P": 159,
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"p": 160,
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"ŋ": 161,
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"¥": 162,
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"ʌ": 163,
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"™": 164,
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"K": 165,
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"q": 166,
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"×": 167,
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"`": 168,
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"θ": 169,
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"ʊ": 170,
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"x": 171,
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"|": 172,
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"â": 173,
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"æ": 174,
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":": 175,
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"4": 176,
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"&": 177,
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";": 178,
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"": 179,
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" ": 180,
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"ɜ": 181
|
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},
|
247 |
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"unk_token": "<unk>"
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248 |
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}
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249 |
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}
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tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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{
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"added_tokens_decoder": {
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"0": {
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4 |
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"content": "<unk>",
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5 |
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"lstrip": false,
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6 |
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "<s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "</s>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
}
|
35 |
+
},
|
36 |
+
"bos_token": "<s>",
|
37 |
+
"clean_up_tokenization_spaces": true,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"model_max_length": 1000000000000000019884624838656,
|
40 |
+
"pad_token": "<pad>",
|
41 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
42 |
+
"unk_token": "<unk>"
|
43 |
+
}
|
w2p_bart.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28e42968b3c2f6b5e2826c7b5c05195ae35bb242824f3908210ee4b07a7f5608
|
3 |
+
size 42555254
|