Instructions to use KennethTM/pix2struct-base-table2html with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KennethTM/pix2struct-base-table2html 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="KennethTM/pix2struct-base-table2html")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("KennethTM/pix2struct-base-table2html") model = AutoModelForImageTextToText.from_pretrained("KennethTM/pix2struct-base-table2html") - Notebooks
- Google Colab
- Kaggle
File size: 250 Bytes
a426793 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"do_convert_rgb": true,
"do_normalize": true,
"image_processor_type": "Pix2StructImageProcessor",
"is_vqa": false,
"max_patches": 1024,
"patch_size": {
"height": 16,
"width": 16
},
"processor_class": "Pix2StructProcessor"
}
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