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saburbutt
/
testing

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

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

  • Libraries
  • Transformers

    How to use saburbutt/testing with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="saburbutt/testing")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("saburbutt/testing")
    model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/testing")
  • Notebooks
  • Google Colab
  • Kaggle
testing
824 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
julien-c's picture
julien-c HF Staff
Textual files shouldn't be stored in LFS
b6860ee over 5 years ago
  • .gitattributes
    345 Bytes
    Textual files shouldn't be stored in LFS over 5 years ago
  • config.json
    759 Bytes
    Textual files shouldn't be stored in LFS over 5 years ago
  • pytorch_model.bin
    823 MB
    xet
    version1 over 5 years ago
  • special_tokens_map.json
    156 Bytes
    Textual files shouldn't be stored in LFS over 5 years ago
  • spiece.model
    760 kB
    version1 over 5 years ago
  • tokenizer_config.json
    286 Bytes
    Textual files shouldn't be stored in LFS over 5 years ago