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Bingsu
/
temp_vilt_vqa

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

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

  • Libraries
  • Transformers

    How to use Bingsu/temp_vilt_vqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Bingsu/temp_vilt_vqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("Bingsu/temp_vilt_vqa")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("Bingsu/temp_vilt_vqa")
  • Notebooks
  • Google Colab
  • Kaggle
temp_vilt_vqa
1.48 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Bingsu's picture
Bingsu
initial commit
ed9cbd0 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago