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
Update preprocessor_config.json
Browse files- preprocessor_config.json +2 -1
preprocessor_config.json
CHANGED
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@@ -3,5 +3,6 @@
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"do_normalize": true,
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"image_processor_type": "Pix2StructImageProcessor",
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"patch_size": {"height":16, "width":16},
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"processor_class": "Pix2StructProcessor"
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}
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"do_normalize": true,
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"image_processor_type": "Pix2StructImageProcessor",
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"patch_size": {"height":16, "width":16},
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"processor_class": "Pix2StructProcessor",
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"max_patches": 2048,
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}
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