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9au5a
/
nlpandweb

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

Instructions to use 9au5a/nlpandweb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 9au5a/nlpandweb with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="9au5a/nlpandweb")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("9au5a/nlpandweb")
    model = AutoModelForQuestionAnswering.from_pretrained("9au5a/nlpandweb", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nlpandweb / checkpoint-13500
172 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
9au5a's picture
9au5a
Upload with huggingface_hub
e25ae06 over 3 years ago
  • config.json
    734 Bytes
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  • optimizer.pt
    114 MB
    xet
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  • pytorch_model.bin
    57 MB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    627 Bytes
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    447 Bytes
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  • trainer_state.json
    3.64 kB
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  • training_args.bin
    3.52 kB
    xet
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  • vocab.txt
    232 kB
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