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uclanlp
/
visualbert-vqa

Question Answering
Transformers
PyTorch
visual_bert
Model card Files Files and versions
xet
Community
3

Instructions to use uclanlp/visualbert-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uclanlp/visualbert-vqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="uclanlp/visualbert-vqa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("uclanlp/visualbert-vqa")
    model = AutoModelForQuestionAnswering.from_pretrained("uclanlp/visualbert-vqa")
  • Notebooks
  • Google Colab
  • Kaggle
visualbert-vqa
456 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
gchhablani's picture
gchhablani
Add Model
e3da2db almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • config.json
    153 kB
    Add Model almost 5 years ago
  • pytorch_model.bin
    455 MB
    xet
    Add Model almost 5 years ago