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facebook
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hf-seamless-m4t-medium

Text-to-Speech
Transformers
PyTorch
seamless_m4t
feature-extraction
SeamlessM4T
Model card Files Files and versions
xet
Community
28

Instructions to use facebook/hf-seamless-m4t-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/hf-seamless-m4t-medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="facebook/hf-seamless-m4t-medium")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-medium")
    model = AutoModel.from_pretrained("facebook/hf-seamless-m4t-medium")
  • Notebooks
  • Google Colab
  • Kaggle
hf-seamless-m4t-medium
4.86 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ylacombe's picture
ylacombe
Upload processor
f457685 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    2.23 kB
    Upload processor over 2 years ago
  • preprocessor_config.json
    318 Bytes
    Upload processor over 2 years ago
  • sentencepiece.bpe.model
    4.85 MB
    xet
    Upload processor over 2 years ago
  • special_tokens_map.json
    3.3 kB
    Upload processor over 2 years ago
  • tokenizer_config.json
    456 Bytes
    Upload processor over 2 years ago