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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-widget-captioning-large") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-widget-captioning-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cf396a79d2a6cc9abec8bc08d669f06739c171d2fbca967a7c9e3b6e615ee2e
- Size of remote file:
- 5.34 GB
- SHA256:
- 613c85a4f2b8d3ffcf26fa5365ddcb50ce3e30b3ddea97d9a48c69d309b8efc0
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