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textattack
/
distilbert-base-uncased-RTE

Text Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

Instructions to use textattack/distilbert-base-uncased-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use textattack/distilbert-base-uncased-RTE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="textattack/distilbert-base-uncased-RTE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-uncased-RTE")
    model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-uncased-RTE")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased-RTE
233 kB
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History: 6 commits
system's picture
system HF Staff
Update tokenizer_config.json
8c2a677 almost 6 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • config.json
    484 Bytes
    Update config.json almost 6 years ago
  • eval_results_rte.txt
    72 Bytes
    Update eval_results_rte.txt almost 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    48 Bytes
    Update tokenizer_config.json almost 6 years ago
  • vocab.txt
    232 kB
    Update vocab.txt almost 6 years ago