Instructions to use Matthijs/mms-tts-fra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/mms-tts-fra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Matthijs/mms-tts-fra")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Matthijs/mms-tts-fra") model = AutoModelForTextToWaveform.from_pretrained("Matthijs/mms-tts-fra") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- special_tokens_map.json +4 -0
- tokenizer_config.json +9 -0
- vocab.json +48 -0
special_tokens_map.json
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{
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"add_blank": true,
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"clean_up_tokenization_spaces": true,
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"language": null,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "VitsMmsTokenizer",
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"unk_token": "<unk>"
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}
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vocab.json
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{
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" ": 29,
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"'": 41,
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"-": 2,
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"<pad>": 44,
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"<unk>": 45,
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"_": 14,
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"a": 19,
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"b": 18,
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"c": 10,
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"d": 17,
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"e": 15,
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"f": 20,
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"g": 11,
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"h": 22,
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"i": 16,
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"j": 36,
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"k": 25,
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"l": 43,
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"m": 42,
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"n": 34,
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"o": 35,
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"p": 31,
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"q": 9,
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"r": 23,
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"s": 26,
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"t": 33,
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"u": 4,
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"v": 27,
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"x": 8,
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"y": 6,
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"z": 1,
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"à": 28,
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"â": 38,
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"ç": 39,
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"è": 7,
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"é": 24,
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"ê": 13,
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"ë": 32,
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"î": 0,
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"ï": 40,
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"ô": 12,
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"ù": 3,
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"û": 5,
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"ü": 37,
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"œ": 21,
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"–": 30
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}
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