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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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened 2 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 2 months ago by
SFconvertbot
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