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Hayasuki
/
ChuckleNet-Kage

Audio Classification
Transformers
Safetensors
Shadow
chucklenet
laughter-detection
wavlm
speech
humor
stand-up-comedy
kage
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Hayasuki/ChuckleNet-Kage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hayasuki/ChuckleNet-Kage with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Hayasuki/ChuckleNet-Kage", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForAudioClassification
    model = AutoModelForAudioClassification.from_pretrained("Hayasuki/ChuckleNet-Kage", trust_remote_code=True, device_map="auto")
  • Shadow

    How to use Hayasuki/ChuckleNet-Kage with Shadow:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
ChuckleNet-Kage
949 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Hayasuki's picture
Hayasuki
FIXED: English-first, clear weak-label warning, add gate definitions, fix related model links
8f559c1 verified 9 days ago
  • __pycache__
    Upload folder using huggingface_hub 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago
  • README.md
    11.1 kB
    FIXED: English-first, clear weak-label warning, add gate definitions, fix related model links 9 days ago
  • config.json
    481 Bytes
    Upload folder using huggingface_hub 19 days ago
  • model.safetensors
    920 kB
    xet
    Upload folder using huggingface_hub 19 days ago
  • modeling_chucklenet.py
    6.61 kB
    Upload folder using huggingface_hub 19 days ago