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nikraf
/
directionality_probe

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

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

  • Libraries
  • Transformers

    How to use nikraf/directionality_probe with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="nikraf/directionality_probe", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nikraf/directionality_probe", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
directionality_probe / protify /FastPLMs
2.17 MB
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  • 1 contributor
History: 1 commit
nikraf's picture
nikraf
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  • boltz_fastplms
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  • testing
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  • __init__.py
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  • embedding_mixin.py
    19 kB
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  • entrypoint_setup.py
    873 Bytes
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  • exp.py
    5.34 kB
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  • fine_tuning_example.py
    22.1 kB
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  • update_HF.py
    9.74 kB
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  • weight_comparison.py
    4.61 kB
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  • weight_parity_utils.py
    2.82 kB
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