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Woleek
/
ResNet50AffectiveFeatureExtractor

Feature Extraction
Transformers
Safetensors
ResNet50AffectiveFeatureExtractor
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Woleek/ResNet50AffectiveFeatureExtractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Woleek/ResNet50AffectiveFeatureExtractor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Woleek/ResNet50AffectiveFeatureExtractor", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Woleek/ResNet50AffectiveFeatureExtractor", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ResNet50AffectiveFeatureExtractor
101 MB
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  • 1 contributor
History: 5 commits
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Woleek
Upload feature extractor
6f9b866 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • config.json
    307 Bytes
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  • config.py
    226 Bytes
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  • model.py
    990 Bytes
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  • model.safetensors
    101 MB
    xet
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