Instructions to use google/pix2struct-ocrvqa-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-ocrvqa-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-ocrvqa-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-ocrvqa-large") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-ocrvqa-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a085396ec465e7677a13bf7e00672c90da35a65c38a8a8e69d4f78cb0a30564a
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size 5344482672
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