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harshil10
/
tiny_bert_2

Question Answering
Transformers
PyTorch
albert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use harshil10/tiny_bert_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use harshil10/tiny_bert_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="harshil10/tiny_bert_2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("harshil10/tiny_bert_2")
    model = AutoModelForQuestionAnswering.from_pretrained("harshil10/tiny_bert_2")
  • Notebooks
  • Google Colab
  • Kaggle
tiny_bert_2
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
a9d0414 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.05 kB
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  • config.json
    841 Bytes
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  • gitattributes.txt
    1.34 kB
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  • gitignore.txt
    13 Bytes
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  • model.safetensors
    21 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    21 MB
    xet
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  • pytorch_model.zip
    19.5 MB
    xet
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  • special_tokens_map.json
    173 Bytes
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  • tokenizer.json
    2.46 MB
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  • tokenizer_config.json
    535 Bytes
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  • training_args.bin
    3.38 kB
    xet
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  • training_args.zip
    1.89 kB
    xet
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