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mispeech
/
dashengtokenizer

Audio-to-Audio
Transformers
Safetensors
dashengtokenizer
feature-extraction
audio-classification
signal-processing
custom_code
Model card Files Files and versions
xet
Community

Instructions to use mispeech/dashengtokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mispeech/dashengtokenizer with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mispeech/dashengtokenizer", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dashengtokenizer / figures
1.75 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Heinrich Dinkel
Updated
ae36747 3 months ago
  • audio_generation_results.pdf
    16.6 kB
    Added README 3 months ago
  • audio_generation_results.png
    24.6 kB
    updated readme 3 months ago
  • audio_understanding_results.pdf
    20.9 kB
    Added README 3 months ago
  • audio_understanding_results.png
    61.1 kB
    updated readme 3 months ago
  • framework.png
    1.62 MB
    xet
    Updated 3 months ago