Instructions to use google/pix2struct-widget-captioning-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-widget-captioning-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-widget-captioning-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-widget-captioning-large") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-widget-captioning-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de82cf6f66987957fc5aa17ae2cf1a2323ff51f79f09790e641d09e3cb6fe58c
- Size of remote file:
- 5.34 GB
- SHA256:
- 8369baa0a73699f012e78bade9b3933db52c67ee7357caff7673b490de9bba5c
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