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saburbutt
/
albert_xxlarge_tweetqa

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

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

  • Libraries
  • Transformers

    How to use saburbutt/albert_xxlarge_tweetqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="saburbutt/albert_xxlarge_tweetqa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("saburbutt/albert_xxlarge_tweetqa")
    model = AutoModelForQuestionAnswering.from_pretrained("saburbutt/albert_xxlarge_tweetqa")
  • Notebooks
  • Google Colab
  • Kaggle
albert_xxlarge_tweetqa
824 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
saburbutt's picture
saburbutt
Create README.md
7150327 about 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • README.md
    0 Bytes
    Create README.md about 5 years ago
  • config.json
    759 Bytes
    version1 over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    823 MB
    xet
    version1 over 5 years ago
  • special_tokens_map.json
    156 Bytes
    version1 over 5 years ago
  • spiece.model
    760 kB
    version1 over 5 years ago
  • tokenizer_config.json
    286 Bytes
    version1 over 5 years ago