Instructions to use TheAIchemist13/hindi_wav2vec2_optimized_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/hindi_wav2vec2_optimized_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/hindi_wav2vec2_optimized_2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheAIchemist13/hindi_wav2vec2_optimized_2") model = AutoModelForCTC.from_pretrained("TheAIchemist13/hindi_wav2vec2_optimized_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
7cf7d88
1
Parent(s): d63849a
Upload tokenizer
Browse files- tokenizer_config.json +0 -2
tokenizer_config.json
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"special": false
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": false,
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"replace_word_delimiter_char": " ",
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"target_lang": null,
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"tokenizer_file": null,
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"unk_token": "<unk>",
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"word_delimiter_token": "|"
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}
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"special": false
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": false,
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"replace_word_delimiter_char": " ",
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"target_lang": null,
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "<unk>",
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"word_delimiter_token": "|"
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}
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