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Shobhank-iiitdwd
/
Distilroberta-base-QQP

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

Instructions to use Shobhank-iiitdwd/Distilroberta-base-QQP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shobhank-iiitdwd/Distilroberta-base-QQP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Shobhank-iiitdwd/Distilroberta-base-QQP")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Shobhank-iiitdwd/Distilroberta-base-QQP")
    model = AutoModelForSequenceClassification.from_pretrained("Shobhank-iiitdwd/Distilroberta-base-QQP")
  • Notebooks
  • Google Colab
  • Kaggle
Distilroberta-base-QQP
659 MB
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  • 2 contributors
History: 3 commits
Shobhank-iiitdwd's picture
Shobhank-iiitdwd
Update README.md
1c94485 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • CEBinaryClassificationEvaluator_Quora-dev_results.csv
    2.07 kB
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  • README.md
    848 Bytes
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  • config.json
    607 Bytes
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  • flax_model.msgpack
    328 MB
    xet
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  • index.gitattributes
    391 Bytes
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  • merges(1).txt
    456 kB
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  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    329 MB
    xet
    Upload 11 files over 3 years ago
  • special_tokens_map.json
    772 Bytes
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  • tokenizer_config.json
    148 Bytes
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  • vocab.json
    899 kB
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