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Nadav
/
PretrainedPHD-v5

Transformers
PyTorch
pixel
Model card Files Files and versions
xet
Community

Instructions to use Nadav/PretrainedPHD-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nadav/PretrainedPHD-v5 with Transformers:

    # Load model directly
    from transformers import AutoModelForPreTraining
    model = AutoModelForPreTraining.from_pretrained("Nadav/PretrainedPHD-v5", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PretrainedPHD-v5
Ctrl+K
Ctrl+K
  • 1 contributor
History: 42 commits
Nadav's picture
Nadav
Model save
14e3888 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 50000 almost 3 years ago
  • config.json
    748 Bytes
    Training in progress, step 50000 almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    449 MB
    xet
    Training in progress, step 2000000 over 2 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "transformers.training_args.TrainingArguments",
    • "torch.device"

    How to fix it?

    5.55 kB
    xet
    Training in progress, step 1850000 over 2 years ago