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adamo1139
/
Meta_Spirit-LM-ungated

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

Instructions to use adamo1139/Meta_Spirit-LM-ungated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adamo1139/Meta_Spirit-LM-ungated with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="adamo1139/Meta_Spirit-LM-ungated", device_map="auto")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("adamo1139/Meta_Spirit-LM-ungated", dtype="auto", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Meta_Spirit-LM-ungated / speech_tokenizer
887 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
adamo1139's picture
adamo1139
Add files using upload-large-folder tool
868e3b5 verified almost 2 years ago
  • hifigan_spiritlm_base
    Add files using upload-large-folder tool almost 2 years ago
  • hifigan_spiritlm_expressive_w2v2
    Add files using upload-large-folder tool almost 2 years ago
  • hubert_25hz
    Add files using upload-large-folder tool almost 2 years ago
  • style_encoder_w2v2
    Add files using upload-large-folder tool almost 2 years ago
  • vqvae_f0_quantizer
    Add files using upload-large-folder tool almost 2 years ago