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Riad
/
finetuned-bert-mrpc

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use Riad/finetuned-bert-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Riad/finetuned-bert-mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Riad/finetuned-bert-mrpc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Riad/finetuned-bert-mrpc")
    model = AutoModelForSequenceClassification.from_pretrained("Riad/finetuned-bert-mrpc")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-bert-mrpc
434 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
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librarian-bot
Librarian Bot: Update Hugging Face dataset ID
063aa7f verified about 2 years ago
  • runs
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  • .gitattributes
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  • .gitignore
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  • README.md
    1.82 kB
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  • config.json
    870 Bytes
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  • pytorch_model.bin
    433 MB
    xet
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    436 kB
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  • tokenizer_config.json
    320 Bytes
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  • training_args.bin
    2.8 kB
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  • vocab.txt
    213 kB
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