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Chetna19
/
m_albert_qa_model

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

Instructions to use Chetna19/m_albert_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Chetna19/m_albert_qa_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Chetna19/m_albert_qa_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Chetna19/m_albert_qa_model")
    model = AutoModelForQuestionAnswering.from_pretrained("Chetna19/m_albert_qa_model")
  • Notebooks
  • Google Colab
  • Kaggle
m_albert_qa_model
47.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Chetna19's picture
Chetna19
update model card README.md
36f4f7e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    End of training about 3 years ago
  • README.md
    1.47 kB
    update model card README.md about 3 years ago
  • config.json
    835 Bytes
    End of training about 3 years ago
  • pytorch_model.bin
    44.4 MB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    286 Bytes
    End of training about 3 years ago
  • spiece.model
    760 kB
    xet
    End of training about 3 years ago
  • tokenizer.json
    2.27 MB
    End of training about 3 years ago
  • tokenizer_config.json
    490 Bytes
    End of training about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    End of training about 3 years ago