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masakhane
/
afriqa_afroxlmr_squad_v2

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

Instructions to use masakhane/afriqa_afroxlmr_squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use masakhane/afriqa_afroxlmr_squad_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="masakhane/afriqa_afroxlmr_squad_v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("masakhane/afriqa_afroxlmr_squad_v2")
    model = AutoModelForQuestionAnswering.from_pretrained("masakhane/afriqa_afroxlmr_squad_v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
afriqa_afroxlmr_squad_v2
1.19 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ToluClassics's picture
ToluClassics
End of training
3250715 over 3 years ago
  • runs
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  • .gitattributes
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  • .gitignore
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  • README.md
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  • all_results.json
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  • config.json
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  • eval_nbest_predictions.json
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  • eval_null_odds.json
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  • eval_predictions.json
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  • eval_results.json
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  • pytorch_model.bin
    1.11 GB
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
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