Instructions to use Amogh06/DeTr-Table-Detection-Model-public3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amogh06/DeTr-Table-Detection-Model-public3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Amogh06/DeTr-Table-Detection-Model-public3")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Amogh06/DeTr-Table-Detection-Model-public3") model = AutoModelForObjectDetection.from_pretrained("Amogh06/DeTr-Table-Detection-Model-public3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c46589c0777bf1aa48a470b89e7a9d52d784accc4d2c303fa7c2b4f687989fe1
- Size of remote file:
- 167 MB
- SHA256:
- 2182015004baad89a2811426d3101426102c7b94f48942fe54d2fd1d93995863
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