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q3fer
/
distilbert-base-fallacy-classification

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
English
distilbert
text-embeddings-inference
Model card Files Files and versions
xet

Instructions to use q3fer/distilbert-base-fallacy-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use q3fer/distilbert-base-fallacy-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="q3fer/distilbert-base-fallacy-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("q3fer/distilbert-base-fallacy-classification")
    model = AutoModelForSequenceClassification.from_pretrained("q3fer/distilbert-base-fallacy-classification")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-fallacy-classification
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  • 1 contributor
History: 8 commits
q3fer's picture
q3fer
Update README.md
cdc7eb2 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.77 kB
    Update README.md over 3 years ago
  • config.json
    1.39 kB
    Upload Tensorflow model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    268 MB
    xet
    Upload Pytorch model over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer files over 3 years ago
  • tf_model.h5
    268 MB
    xet
    Upload Tensorflow model over 3 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer files over 3 years ago
  • tokenizer_config.json
    360 Bytes
    Upload tokenizer files over 3 years ago