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niobures
/
MOSS-Audio-Tokenizer

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

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

  • Libraries
  • Transformers

    How to use niobures/MOSS-Audio-Tokenizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="niobures/MOSS-Audio-Tokenizer", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("niobures/MOSS-Audio-Tokenizer", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MOSS-Audio-Tokenizer
7.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
niobures's picture
niobures
Init
7e96b23 verified 6 days ago
  • images
    Init 6 days ago
  • .gitattributes
    1.83 kB
    Init 6 days ago
  • README.md
    10.8 kB
    Init 6 days ago
  • __init__.py
    52 Bytes
    Init 6 days ago
  • config.json
    6.6 kB
    Init 6 days ago
  • configuration_moss_audio_tokenizer.py
    12.9 kB
    Init 6 days ago
  • model-00001-of-00002.safetensors
    5 GB
    xet
    Init 6 days ago
  • model-00002-of-00002.safetensors
    2.1 GB
    xet
    Init 6 days ago
  • model.safetensors.index.json
    148 kB
    Init 6 days ago
  • modeling_moss_audio_tokenizer.py
    70.9 kB
    Init 6 days ago