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leondz
/
refutation_detector_distilbert

Text Classification
Transformers
PyTorch
Safetensors
English
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use leondz/refutation_detector_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leondz/refutation_detector_distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="leondz/refutation_detector_distilbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("leondz/refutation_detector_distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("leondz/refutation_detector_distilbert")
  • Notebooks
  • Google Colab
  • Kaggle
refutation_detector_distilbert
537 MB
Ctrl+K
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  • 2 contributors
History: 8 commits
leondz's picture
leondz
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
dfb6874 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    770 Bytes
    Update README.md almost 3 years ago
  • config.json
    604 Bytes
    Upload DistilBertForSequenceClassification almost 3 years ago
  • model.safetensors
    268 MB
    xet
    Adding `safetensors` variant of this model (#2) over 1 year ago
  • pytorch_model.bin
    268 MB
    xet
    Upload DistilBertForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    320 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 3 years ago