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Tural
/
out-glue-mrpc

Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Tural/out-glue-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tural/out-glue-mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Tural/out-glue-mrpc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Tural/out-glue-mrpc")
    model = AutoModelForSequenceClassification.from_pretrained("Tural/out-glue-mrpc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
out-glue-mrpc
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Tural's picture
Tural
End of training
325c3d0 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.57 kB
    End of training almost 3 years ago
  • added_tokens.json
    82 Bytes
    Model save almost 3 years ago
  • all_results.json
    482 Bytes
    End of training almost 3 years ago
  • config.json
    892 Bytes
    Model save almost 3 years ago
  • eval_results.json
    309 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Model save almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Model save almost 3 years ago
  • tokenizer.json
    712 kB
    Model save almost 3 years ago
  • tokenizer_config.json
    1.23 kB
    Model save almost 3 years ago
  • train_results.json
    194 Bytes
    End of training almost 3 years ago
  • trainer_state.json
    1.54 kB
    End of training almost 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Model save almost 3 years ago
  • vocab.txt
    232 kB
    Model save almost 3 years ago