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celestialli
/
fmms

Text-to-Speech
Transformers
PyTorch
Safetensors
vits
text-to-audio
mms
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use celestialli/fmms with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="celestialli/fmms")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("celestialli/fmms")
    model = AutoModelForTextToWaveform.from_pretrained("celestialli/fmms")
  • Notebooks
  • Google Colab
  • Kaggle
fmms
291 MB
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  • 1 contributor
History: 4 commits
celestialli's picture
celestialli
modify model.safetensors
180f7ee over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.95 kB
    change README.md over 2 years ago
  • config.json
    1.64 kB
    first commit over 2 years ago
  • model.safetensors
    145 MB
    xet
    modify model.safetensors over 2 years ago
  • pytorch_model.bin
    145 MB
    xet
    first commit over 2 years ago
  • special_tokens_map.json
    47 Bytes
    first commit over 2 years ago
  • tokenizer_config.json
    287 Bytes
    first commit over 2 years ago
  • vocab.json
    483 Bytes
    first commit over 2 years ago