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pother
/
mms_finetuning

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

Instructions to use pother/mms_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pother/mms_finetuning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="pother/mms_finetuning")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("pother/mms_finetuning")
    model = AutoModelForTextToWaveform.from_pretrained("pother/mms_finetuning")
  • Notebooks
  • Google Colab
  • Kaggle
mms_finetuning
159 MB
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  • 1 contributor
History: 16 commits
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pother
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9cecb9c 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
    Upload tokenizer almost 2 years ago
  • config.json
    2.03 kB
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  • model.safetensors
    159 MB
    xet
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  • preprocessor_config.json
    254 Bytes
    Upload feature extractor almost 2 years ago
  • special_tokens_map.json
    277 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    674 Bytes
    Upload tokenizer almost 2 years ago
  • vocab.json
    902 Bytes
    Upload tokenizer almost 2 years ago