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shivangi
/
MRPC_output

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

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

  • Libraries
  • Transformers

    How to use shivangi/MRPC_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="shivangi/MRPC_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("shivangi/MRPC_output")
    model = AutoModelForSequenceClassification.from_pretrained("shivangi/MRPC_output")
  • Notebooks
  • Google Colab
  • Kaggle
MRPC_output
867 MB
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  • 1 contributor
History: 10 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
0021222 almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    476 Bytes
    Update config.json almost 6 years ago
  • eval_results_mrpc.txt
    139 Bytes
    Update eval_results_mrpc.txt almost 6 years ago
  • flax_model.msgpack
    433 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    433 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    49 Bytes
    Update tokenizer_config.json almost 6 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "transformers.training_args.TrainingArguments",
    • "torch.device"

    How to fix it?

    1.09 kB
    xet
    Update training_args.bin almost 6 years ago
  • vocab.txt
    213 kB
    Update vocab.txt almost 6 years ago