Instructions to use Amogh06/DeTr-Table-Detection-Model-public2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amogh06/DeTr-Table-Detection-Model-public2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Amogh06/DeTr-Table-Detection-Model-public2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Amogh06/DeTr-Table-Detection-Model-public2") model = AutoModelForObjectDetection.from_pretrained("Amogh06/DeTr-Table-Detection-Model-public2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:95465954d9cda4b1ae8a5d6bde6f6cdfbb82454765f7062e47b1673dda39f990
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size 166503728
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