Instructions to use SalML/DETR-table-structure-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SalML/DETR-table-structure-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SalML/DETR-table-structure-recognition")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SalML/DETR-table-structure-recognition") model = AutoModelForObjectDetection.from_pretrained("SalML/DETR-table-structure-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
added MSFT original model path
4e2091b
-
Update README.md
fba2243 -
Update README.md
d5c09d2 -
Update README.md
ac56c13
-
Update README.md
95f0fb3 -
Create README.md
9161aaa -
Upload preprocessor_config.json
04de211 -
Upload config.json
7bd6b47 -
Upload pytorch_model.bin
1368060 -
initial commit
a6b89e2