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Team-PIXEL
/
pixel-base-finetuned-jaquad

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

Instructions to use Team-PIXEL/pixel-base-finetuned-jaquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Team-PIXEL/pixel-base-finetuned-jaquad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Team-PIXEL/pixel-base-finetuned-jaquad")
    # Load model directly
    from transformers import AutoModelForQuestionAnswering
    model = AutoModelForQuestionAnswering.from_pretrained("Team-PIXEL/pixel-base-finetuned-jaquad", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pixel-base-finetuned-jaquad
360 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
plip's picture
plip
Upload
07d9e05 almost 4 years ago
  • .gitattributes
    1.22 kB
    Upload almost 4 years ago
  • GoNotoCurrent.ttf
    15.6 MB
    xet
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  • README.md
    1.17 kB
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  • config.json
    773 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    344 MB
    xet
    Upload almost 4 years ago
  • text_renderer_config.json
    3.05 kB
    Upload almost 4 years ago