Instructions to use aryannair21/table-detection-using-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aryannair21/table-detection-using-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="aryannair21/table-detection-using-detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("aryannair21/table-detection-using-detr") model = AutoModelForObjectDetection.from_pretrained("aryannair21/table-detection-using-detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aryannair21/table-detection-using-detr: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/aryannair21/table-detection-using-detr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aryannair21/table-detection-using-detr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aryannair21/table-detection-using-detr/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- 7e3f9695cb607e7240f9aee83dc55b1c3fb975fc797e2a5d902bae131d9fd314
- Size of remote file:
- 167 MB
- SHA256:
- d63e2a9b05d1ea5eac54aef0e3369331df73b06f83fbc9587055852e4991f093
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