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mlx-community
/
MOSS-Audio-Tokenizer-Nano

Feature Extraction
Transformers
Safetensors
MLX
moss-audio-tokenizer
audio
audio-tokenizer
neural-codec
moss-tts-family
MOSS Audio Tokenizer
speech-tokenizer
mlx-audio
custom_code
Model card Files Files and versions
xet
Community

Instructions to use mlx-community/MOSS-Audio-Tokenizer-Nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mlx-community/MOSS-Audio-Tokenizer-Nano with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mlx-community/MOSS-Audio-Tokenizer-Nano", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mlx-community/MOSS-Audio-Tokenizer-Nano", trust_remote_code=True, dtype="auto")
  • MLX

    How to use mlx-community/MOSS-Audio-Tokenizer-Nano with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir MOSS-Audio-Tokenizer-Nano mlx-community/MOSS-Audio-Tokenizer-Nano
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
MOSS-Audio-Tokenizer-Nano
44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
lucasnewman's picture
lucasnewman
Update README.md
edccdfd verified 13 days ago
  • .gitattributes
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    initial commit 13 days ago
  • README.md
    8.62 kB
    Update README.md 13 days ago
  • config.json
    7.39 kB
    Upload 3 files 13 days ago
  • model.safetensors
    44 MB
    xet
    Upload 3 files 13 days ago