Instructions to use google/pix2struct-textcaps-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-textcaps-large 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-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-textcaps-large") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-textcaps-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46b48cac6e40583fac0a256414b6ff4439f041b03fba86b2c35ddedee63ae0d2
- Size of remote file:
- 2.67 GB
- SHA256:
- 1c684ab87a2ca214eb3221680a9592d626a79f3a96962c145a750a5822d69493
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