Add lang model
Browse files- .gitattributes +1 -0
- add_kenlm.py +34 -0
- alphabet.json +1 -0
- language_model/5gram.bin +3 -0
- language_model/attrs.json +1 -0
- language_model/unigrams.txt +3 -0
- preprocessor_config.json +1 -0
- special_tokens_map.json +1 -1
- tokenizer_config.json +1 -1
.gitattributes
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@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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language_model/unigrams.txt filter=lfs diff=lfs merge=lfs -text
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add_kenlm.py
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import argparse
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from transformers import AutoProcessor
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from transformers import Wav2Vec2ProcessorWithLM
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from pyctcdecode import build_ctcdecoder
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def main(args):
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processor = AutoProcessor.from_pretrained(args.model_name_or_path)
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vocab_dict = processor.tokenizer.get_vocab()
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sorted_vocab_dict = {
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k.lower(): v for k, v in sorted(vocab_dict.items(), key=lambda item: item[1])
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}
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decoder = build_ctcdecoder(
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labels=list(sorted_vocab_dict.keys()),
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kenlm_model_path=args.kenlm_model_path,
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)
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processor_with_lm = Wav2Vec2ProcessorWithLM(
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feature_extractor=processor.feature_extractor,
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tokenizer=processor.tokenizer,
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decoder=decoder,
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)
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processor_with_lm.save_pretrained(args.model_name_or_path)
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print(f"Run: ~/bin/build_binary language_model/*.arpa language_model/5gram.bin -T $(pwd) && rm language_model/*.arpa")
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def parse_args():
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parser = argparse.ArgumentParser()
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parser.add_argument('--model_name_or_path', default="./", help='Model name or path. Defaults to ./')
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parser.add_argument('--kenlm_model_path', required=True, help='Path to KenLM arpa file.')
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args = parser.parse_args()
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return args
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if __name__ == "__main__":
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args = parse_args()
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main(args)
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alphabet.json
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{"labels": [" ", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "\u00e5", "\u00e6", "\u00f8", "\u2047", "", "<s>", "</s>"], "is_bpe": false}
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language_model/5gram.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b41c24c63f2f0585bea83666369593f3b3e6d047f327a90f36ebca2c35ef0ff
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size 4243671427
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language_model/attrs.json
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{"alpha": 0.5, "beta": 1.5, "unk_score_offset": -10.0, "score_boundary": true}
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language_model/unigrams.txt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac3e71ca49838ca355df6fdcb8d89344a5a9bf9e1a76587cdf5df1367c19b9a9
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size 16759269
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preprocessor_config.json
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@@ -4,6 +4,7 @@
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0,
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0,
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"processor_class": "Wav2Vec2ProcessorWithLM",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}
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tokenizer_config.json
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{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
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{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer", "processor_class": "Wav2Vec2ProcessorWithLM"}
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