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Hellraiser24
/
vilt-textvqa

Visual Question Answering
Transformers
PyTorch
TensorBoard
vilt
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Hellraiser24/vilt-textvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hellraiser24/vilt-textvqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Hellraiser24/vilt-textvqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("Hellraiser24/vilt-textvqa")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("Hellraiser24/vilt-textvqa")
  • Notebooks
  • Google Colab
  • Kaggle
vilt-textvqa
471 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Hellraiser24's picture
Hellraiser24
Training in progress, step 6000
8ad5064 almost 3 years ago
  • runs
    Training in progress, step 6000 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 2000 almost 3 years ago
  • config.json
    136 kB
    Training in progress, step 2000 almost 3 years ago
  • pytorch_model.bin
    470 MB
    xet
    Training in progress, step 6000 almost 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 2000 almost 3 years ago