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Cossale
/
mms-tts-guj-train

Text-to-Audio
Transformers
Safetensors
vits
Model card Files Files and versions
xet
Community

Instructions to use Cossale/mms-tts-guj-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cossale/mms-tts-guj-train with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="Cossale/mms-tts-guj-train")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("Cossale/mms-tts-guj-train")
    model = AutoModelForTextToWaveform.from_pretrained("Cossale/mms-tts-guj-train")
  • Notebooks
  • Google Colab
  • Kaggle
mms-tts-guj-train
477 MB
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  • 1 contributor
History: 9 commits
Cossale's picture
Cossale
Create run_vits_inference.py
16894bd verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • added_tokens.json
    18 Bytes
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  • config.json
    2.03 kB
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  • finetune_mms_optimized.json
    1.38 kB
    Create finetune_mms_optimized.json almost 2 years ago
  • model.safetensors
    332 MB
    xet
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  • model_maybe.safetensors
    145 MB
    xet
    Rename model.safetensors to model_maybe.safetensors almost 2 years ago
  • preprocessor_config.json
    254 Bytes
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  • run_vits_inference.py
    1.5 kB
    Create run_vits_inference.py almost 2 years ago
  • special_tokens_map.json
    275 Bytes
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  • tokenizer_config.json
    670 Bytes
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  • vocab.json
    765 Bytes
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