Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

OpenMOSS-Team
/
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
7

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

  • Libraries
  • Transformers

    How to use OpenMOSS-Team/MOSS-Audio-Tokenizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="OpenMOSS-Team/MOSS-Audio-Tokenizer", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-Audio-Tokenizer", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MOSS-Audio-Tokenizer / images
2.4 MB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 2 commits
Li-Ruixiao's picture
Li-Ruixiao
Update benchmark results
b99163d 3 months ago
  • arch.png
    215 kB
    xet
    Upload 6 files (#1) 3 months ago
  • pesq-nb.png
    743 kB
    xet
    Update benchmark results 3 months ago
  • pesq-wb.png
    512 kB
    xet
    Upload 6 files (#1) 3 months ago
  • sim.png
    493 kB
    xet
    Upload 6 files (#1) 3 months ago
  • stoi.png
    440 kB
    xet
    Upload 6 files (#1) 3 months ago