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lindsaygross32
/
lucid-distilbert

Text Classification
Transformers
PyTorch
English
distilbert
multi-task
interpretability
trust-and-safety
content-moderation
tiktok
manipulation-detection
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use lindsaygross32/lucid-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lindsaygross32/lucid-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lindsaygross32/lucid-distilbert")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lindsaygross32/lucid-distilbert", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lucid-distilbert
266 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lindsaygross32's picture
lindsaygross32
Create README.md
5329d67 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    11 kB
    Create README.md 2 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    266 MB
    xet
    Upload folder using huggingface_hub 2 months ago
  • tokenizer.json
    711 kB
    Upload folder using huggingface_hub 2 months ago
  • tokenizer_config.json
    322 Bytes
    Upload folder using huggingface_hub 2 months ago