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pealmeida
/
moa-complexity-regressor-v2

Transformers
PyTorch
ONNX
deberta
text-complexity
regression
Model card Files Files and versions
xet
Community

Instructions to use pealmeida/moa-complexity-regressor-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pealmeida/moa-complexity-regressor-v2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("pealmeida/moa-complexity-regressor-v2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
moa-complexity-regressor-v2
576 MB
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  • 1 contributor
History: 7 commits
pealmeida's picture
pealmeida
Upload README.md with huggingface_hub
48b23ec verified 5 days ago
  • onnx
    Upload onnx/complexity-regressor.onnx with huggingface_hub 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 5 days ago
  • README.md
    582 Bytes
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  • config.json
    542 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    566 MB
    xet
    Upload pytorch_model.bin with huggingface_hub 5 days ago
  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    538 Bytes
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