Instructions to use mallikrao2/asr_en_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mallikrao2/asr_en_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mallikrao2/asr_en_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mallikrao2/asr_en_model") model = AutoModelForCTC.from_pretrained("mallikrao2/asr_en_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
dee393f
1
Parent(s): 88d5af7
add tokenizer
Browse files- added_tokens.json +1 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.json +1 -0
added_tokens.json
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{"<s>": 30, "</s>": 31}
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[unq]", "pad_token": "[padded]", "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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tokenizer_config.json
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{"unk_token": "[unq]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[padded]", "do_lower_case": false, "word_delimiter_token": "|", "word_delimiter": "|", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
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vocab.json
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{"y": 0, "c": 1, "j": 2, "i": 3, "r": 4, "n": 5, "h": 6, "v": 7, "s": 8, "x": 9, "p": 10, "u": 11, "b": 12, "t": 13, "d": 14, "w": 15, "o": 16, "z": 17, "l": 18, "e": 19, "a": 20, "'": 21, "g": 22, "m": 24, "f": 25, "k": 26, "q": 27, "|": 23, "[unq]": 28, "[padded]": 29}
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