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
- Xet hash:
- b0a23708bbfced0a22449eb19970cb792261d6abc5bf352152bbc8713dab7eb2
- Size of remote file:
- 5.34 GB
- SHA256:
- afb0be96f4cd19b9a46789beb486ad64e812efd353a7e1370acb7dbe216ca6b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.