Instructions to use google/pix2struct-textcaps-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-textcaps-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="google/pix2struct-textcaps-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-textcaps-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-textcaps-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23eb02874e9b0cc071316118deea483900a224d602b6ec6eddbfde418715a7a6
- Size of remote file:
- 1.13 GB
- SHA256:
- 771693f7e310a89d77aa7ee4d1f5ea3e0c4adb0b6112cdf25a20da29cc3d0ea7
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