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aware-ai
/
xlmroberta-squadv2

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

Instructions to use aware-ai/xlmroberta-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aware-ai/xlmroberta-squadv2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="aware-ai/xlmroberta-squadv2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("aware-ai/xlmroberta-squadv2")
    model = AutoModelForQuestionAnswering.from_pretrained("aware-ai/xlmroberta-squadv2")
  • Notebooks
  • Google Colab
  • Kaggle
xlmroberta-squadv2
9.02 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 30 commits
flozi00's picture
flozi00
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
b9e727d about 3 years ago
  • .gitattributes
    399 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    2.02 kB
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  • config.json
    522 Bytes
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  • model.safetensors
    2.24 GB
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  • model_args.json
    1.48 kB
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  • nbest_predictions_test.json
    62.9 MB
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  • null_odds_test.json
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  • optimizer.pt
    4.47 GB
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  • predictions_test.json
    575 kB
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  • pytorch_model.bin
    2.24 GB
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  • scheduler.pt
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    150 Bytes
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  • tokenizer_config.json
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  • training_args.bin
    1.73 kB
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