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hazyresearch
/
Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro

Text Classification
Transformers
PyTorch
English
academic
reasoning
verification
weaver
cross-encoder
mmlu
Model card Files Files and versions
xet
Community

Instructions to use hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("hazyresearch/Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Weaver_Distilled_ModernBERT_Large_for_MMLU-Pro
793 MB
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  • 2 contributors
History: 46 commits
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jonsaadfalcon
Update README.md
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  • pytorch_model.bin
    793 MB
    xet
    Upload pytorch_model.bin about 1 year ago