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uf-aice-lab
/
BLIP-Math

Image-to-Text
Transformers
PyTorch
google-tensorflow TensorFlow
blip
image-text-to-text
image-captioning
Model card Files Files and versions
xet
Community
1

Instructions to use uf-aice-lab/BLIP-Math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uf-aice-lab/BLIP-Math with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="uf-aice-lab/BLIP-Math")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("uf-aice-lab/BLIP-Math")
    model = AutoModelForImageTextToText.from_pretrained("uf-aice-lab/BLIP-Math")
  • Notebooks
  • Google Colab
  • Kaggle
BLIP-Math
1.52 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
uf-aice-lab's picture
uf-aice-lab
initial commit
3db8073 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago