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anukaver
/
xlm-roberta-est-qa

Question Answering
Transformers
PyTorch
xlm-roberta
Model card Files Files and versions
xet
Community
1

Instructions to use anukaver/xlm-roberta-est-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anukaver/xlm-roberta-est-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="anukaver/xlm-roberta-est-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("anukaver/xlm-roberta-est-qa")
    model = AutoModelForQuestionAnswering.from_pretrained("anukaver/xlm-roberta-est-qa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-est-qa
1.11 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
anukaver's picture
anukaver
Update README.md
31a7992 over 5 years ago
  • .gitattributes
    785 Bytes
    support for lfs over 5 years ago
  • README.md
    804 Bytes
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  • config.json
    710 Bytes
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  • gitattributes
    344 Bytes
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  • pytorch_model.bin
    1.11 GB
    xet
    support for lfs over 5 years ago
  • sentencepiece.bpe.model
    5.07 MB
    support for lfs over 5 years ago
  • special_tokens_map.json
    239 Bytes
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  • tokenizer_config.json
    323 Bytes
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  • training_args.bin
    2.16 kB
    support for lfs over 5 years ago