Instructions to use nyrasea/Hariring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyrasea/Hariring with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nyrasea/Hariring", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -3
tokenizer_config.json
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces":
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"do_lower_case": false,
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"processor_class": "Wav2Vec2BertProcessor",
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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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}
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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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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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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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