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
File size: 135 Bytes
49ed5ec | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c6aef999794a0e19fa3e1e0892a921433bcf1ea8133530afbd8f47d311c9b528
size 1129238081
|