Instructions to use google/deplot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/deplot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/deplot")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/deplot") model = AutoModelForImageTextToText.from_pretrained("google/deplot") - Notebooks
- Google Colab
- Kaggle
Update preprocessor_config.json
#4
by owaiskha9654 - opened
- preprocessor_config.json +1 -1
preprocessor_config.json
CHANGED
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@@ -2,7 +2,7 @@
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"do_convert_rgb": true,
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"do_normalize": true,
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"image_processor_type": "Pix2StructImageProcessor",
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-
"is_vqa":
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"max_patches": 2048,
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"patch_size": {
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"height": 16,
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"do_convert_rgb": true,
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"do_normalize": true,
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"image_processor_type": "Pix2StructImageProcessor",
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+
"is_vqa": false,
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"max_patches": 2048,
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"patch_size": {
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"height": 16,
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