Instructions to use Amogh06/DeTr-Table-Detection-Model-public with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amogh06/DeTr-Table-Detection-Model-public with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Amogh06/DeTr-Table-Detection-Model-public")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Amogh06/DeTr-Table-Detection-Model-public") model = AutoModelForObjectDetection.from_pretrained("Amogh06/DeTr-Table-Detection-Model-public") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c19e287b7a2584bae5fd2632236ab2e1538d57612592a66803738636af075f3
- Size of remote file:
- 167 MB
- SHA256:
- d9a5f3a6091f50ca8eef9926fc852a72e6fa8a6fca2eafccf743db8ba587e38c
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