Instructions to use google/pix2struct-ocrvqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-ocrvqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-ocrvqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-ocrvqa-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-ocrvqa-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58c480b5bbef076963d3716c1378923ba10e19c0844716e0b50477ee75bfaad4
- Size of remote file:
- 1.13 GB
- SHA256:
- 33d66cebef7e6ad90f4d8fa0f4d049163a02c49e557727bde4e8c224617b6409
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