Instructions to use google/pix2struct-widget-captioning-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-widget-captioning-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-widget-captioning-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-widget-captioning-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-widget-captioning-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e21f035f7d7720b78187d81f7037fb71f49d004698e3133e463a0d47e6b06ae
- Size of remote file:
- 1.13 GB
- SHA256:
- 0b096c351692854237aa9fca73e973e3f764f376afc84999357614bac36e2b92
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