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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 080725b69da0b1349701b05c7b1b836690838d8bd44a67eafeb64c8b0d59aca1
- Size of remote file:
- 116 MB
- SHA256:
- ae61330554d940e9387203e7ec6db74740f97ed5d89f299be99582129aef939f
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