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dineshcr7
/
med-VQA

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

Instructions to use dineshcr7/med-VQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dineshcr7/med-VQA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="dineshcr7/med-VQA")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("dineshcr7/med-VQA")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("dineshcr7/med-VQA", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
med-VQA
1.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dineshcr7's picture
dineshcr7
Upload BlipForQuestionAnswering
b1f286f almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    643 Bytes
    Upload BlipForQuestionAnswering almost 3 years ago
  • generation_config.json
    141 Bytes
    Upload BlipForQuestionAnswering almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.54 GB
    xet
    Upload BlipForQuestionAnswering almost 3 years ago