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ji-xin
/
roberta_base-RTE-two_stage

Fill-Mask
Transformers
PyTorch
Model card Files Files and versions
xet
Community
1

Instructions to use ji-xin/roberta_base-RTE-two_stage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ji-xin/roberta_base-RTE-two_stage with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ji-xin/roberta_base-RTE-two_stage")
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("ji-xin/roberta_base-RTE-two_stage", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_base-RTE-two_stage
529 MB
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History: 11 commits
system's picture
system HF Staff
Update added_tokens.json
d4b01b4 almost 6 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • added_tokens.json
    2 Bytes
    Update added_tokens.json almost 6 years ago
  • config.json
    643 Bytes
    Update config.json almost 6 years ago
  • eval_results.txt
    25 Bytes
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  • layer_example_counter
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  • merges.txt
    456 kB
    Update merges.txt almost 6 years ago
  • pytorch_model.bin
    527 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    150 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    58 Bytes
    Update tokenizer_config.json almost 6 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "argparse.Namespace",
    • "torch.device"

    How to fix it?

    1.54 kB
    xet
    Update training_args.bin almost 6 years ago
  • vocab.json
    899 kB
    Update vocab.json almost 6 years ago