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yb1n
/
0409_deep_hw

Feature Extraction
Transformers
PyTorch
custom-transformer-encoder
transformer
encoder
custom_code
Model card Files Files and versions
xet
Community

Instructions to use yb1n/0409_deep_hw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yb1n/0409_deep_hw with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yb1n/0409_deep_hw", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yb1n/0409_deep_hw", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
0409_deep_hw
185 kB
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  • 1 contributor
History: 6 commits
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yb1n
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  • .gitignore
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  • 0409_hw.ipynb
    174 kB
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  • README.md
    875 Bytes
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  • config.json
    619 Bytes
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  • configuration_custom.py
    1.27 kB
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  • modeling_custom.py
    8.51 kB
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  • requirements.txt
    19 Bytes
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