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AISE-TUDelft
/
Custom-Activations-BERT-Adaptive-GELU

Fill-Mask
Transformers
PyTorch
activations_roberta
Model card Files Files and versions
xet
Community

Instructions to use AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU")
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Custom-Activations-BERT-Adaptive-GELU
39.5 MB
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  • 1 contributor
History: 5 commits
filipignijic's picture
filipignijic
Update README.md
ca78cbb verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    408 Bytes
    Update README.md almost 2 years ago
  • config.json
    847 Bytes
    Upload ActivationsRobertaForMaskedLM almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    39.5 MB
    xet
    Upload ActivationsRobertaForMaskedLM almost 2 years ago