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icy17
/
finetune-best

Question Answering
Transformers
PyTorch
electra
Model card Files Files and versions
xet
Community
1

Instructions to use icy17/finetune-best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use icy17/finetune-best with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="icy17/finetune-best")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("icy17/finetune-best")
    model = AutoModelForQuestionAnswering.from_pretrained("icy17/finetune-best", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetune-best
3.99 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
icy17's picture
icy17
upload final best orig model
f7e4b1e over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    829 Bytes
    upload final best orig model over 3 years ago
  • optimizer.pt
    2.66 GB
    xet
    upload final best orig model over 3 years ago
  • pytorch_model.bin
    1.33 GB
    xet
    upload final best orig model over 3 years ago
  • rng_state.pth
    14.5 kB
    xet
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  • scaler.pt
    559 Bytes
    xet
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  • scheduler.pt
    623 Bytes
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    679 kB
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  • tokenizer_config.json
    471 Bytes
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  • trainer_state.json
    2.29 kB
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  • training_args.bin
    3.5 kB
    xet
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  • vocab.txt
    225 kB
    upload final best orig model over 3 years ago