Instructions to use google/pix2struct-docvqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-docvqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-docvqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-docvqa-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-docvqa-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
63f6b3d
1
Parent(s): 4dde85b
Adding `safetensors` variant of this model (#6)
Browse files- Adding `safetensors` variant of this model (88d991987284a515e52693170dee694a9ce38aca)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:067f7f314d87fa56daa5bcfaf36fa0b33ceebf7b7d4fae6a1e51ab7af64ee0b5
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size 1129177976
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