Instructions to use google/pix2struct-docvqa-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-docvqa-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-docvqa-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-docvqa-large") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-docvqa-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ff4d9c3f895bd18d6e119397419d39571db37b60cbb554e1cef3f248aa12b37
- Size of remote file:
- 5.34 GB
- SHA256:
- 49d307e8a6e066b572f1f8389215a0882d206f482a5256142f06d27659c00a09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.