Instructions to use deepdoctection/tatr_tab_struct_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdoctection/tatr_tab_struct_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="deepdoctection/tatr_tab_struct_v2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("deepdoctection/tatr_tab_struct_v2") model = AutoModelForObjectDetection.from_pretrained("deepdoctection/tatr_tab_struct_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f432f9129794ac27c79fbc6b260f467135b7e201819efeb8bb1c1db1fd5e1d51
- Size of remote file:
- 115 MB
- SHA256:
- 1217a08ae1e34c83235d701b0d9870f873a2158c2b8dfb28e289e4f49011c991
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