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prism-lab
/
pillars-dat-wikitext-32k

Feature Extraction
Transformers
PyTorch
pillars-dat
custom_code
Model card Files Files and versions
xet
Community

Instructions to use prism-lab/pillars-dat-wikitext-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prism-lab/pillars-dat-wikitext-32k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="prism-lab/pillars-dat-wikitext-32k", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("prism-lab/pillars-dat-wikitext-32k", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pillars-dat-wikitext-32k
127 MB
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  • 1 contributor
History: 2 commits
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cf5dff5 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
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  • config.json
    385 Bytes
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  • configuration_pillars.py
    524 Bytes
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  • modeling_pillars.py
    14.4 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    127 MB
    xet
    Upload model 4 months ago