Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

jmonas
/
ViLT-33M-vqa

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

Instructions to use jmonas/ViLT-33M-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jmonas/ViLT-33M-vqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="jmonas/ViLT-33M-vqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("jmonas/ViLT-33M-vqa")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("jmonas/ViLT-33M-vqa")
  • Notebooks
  • Google Colab
  • Kaggle
ViLT-33M-vqa
136 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jmonas's picture
jmonas
Update config.json
947392f verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload ViltForQuestionAnswering about 2 years ago
  • config.json
    136 kB
    Update config.json about 2 years ago
  • model.safetensors
    136 MB
    xet
    Upload ViltForQuestionAnswering about 2 years ago