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shuheng
/
squad_albert_finetuned

Question Answering
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use shuheng/squad_albert_finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="shuheng/squad_albert_finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("shuheng/squad_albert_finetuned")
    model = AutoModelForQuestionAnswering.from_pretrained("shuheng/squad_albert_finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
squad_albert_finetuned
97.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 152 commits
shuheng's picture
shuheng
End of training
cfecde8 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.58 kB
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  • README.md
    1.19 kB
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  • all_results.json
    448 Bytes
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  • config.json
    842 Bytes
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  • eval_nbest_predictions.json
    49.1 MB
    xet
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  • eval_predictions.json
    595 kB
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  • eval_results.json
    231 Bytes
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  • model.safetensors
    44.4 MB
    xet
    Training in progress, step 27700 over 1 year ago
  • special_tokens_map.json
    286 Bytes
    Training in progress, step 500 over 1 year ago
  • spiece.model
    760 kB
    xet
    Training in progress, step 500 over 1 year ago
  • tokenizer.json
    2.27 MB
    Training in progress, step 500 over 1 year ago
  • tokenizer_config.json
    1.25 kB
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  • train_results.json
    238 Bytes
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  • trainer_state.json
    10.6 kB
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  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 500 over 1 year ago