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intanm
/
xlm-roberta-squad

Question Answering
Transformers
PyTorch
TensorBoard
xlm-roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use intanm/xlm-roberta-squad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="intanm/xlm-roberta-squad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("intanm/xlm-roberta-squad")
    model = AutoModelForQuestionAnswering.from_pretrained("intanm/xlm-roberta-squad")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-squad
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
intanm's picture
intanm
Training in progress, step 6500
8576d35 about 3 years ago
  • runs
    Training in progress, step 6500 about 3 years ago
  • .gitattributes
    1.53 kB
    Training in progress, step 500 about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 about 3 years ago
  • config.json
    716 Bytes
    Training in progress, step 500 about 3 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    Training in progress, step 6500 about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, step 500 about 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress, step 500 about 3 years ago
  • tokenizer_config.json
    451 Bytes
    Training in progress, step 500 about 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, step 500 about 3 years ago