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

  • Log In
  • Sign Up

mispeech
/
ced-base

Audio Classification
Transformers
ONNX
Safetensors
ced
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use mispeech/ced-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="mispeech/ced-base", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForAudioClassification
    model = AutoModelForAudioClassification.from_pretrained("mispeech/ced-base", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ced-base
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
jimbozhang's picture
jimbozhang
Upload feature extractor
3bf8ef6 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    24.9 kB
    Upload CedForAudioClassification over 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload CedForAudioClassification over 2 years ago
  • preprocessor_config.json
    289 Bytes
    Upload feature extractor over 2 years ago