Instructions to use Yethi/UIED_DETR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yethi/UIED_DETR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Yethi/UIED_DETR")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Yethi/UIED_DETR") model = AutoModelForObjectDetection.from_pretrained("Yethi/UIED_DETR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Yethi/UIED_DETR: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/Yethi/UIED_DETR/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Yethi/UIED_DETR@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Yethi/UIED_DETR/resolve/refs%2Fpr%2F1/training_args.bin
3.96 kB
- Xet hash:
- 194439661f07a6413223dd03f93522ceff45ce3f119593a9e26d3586ef503ec4
- Size of remote file:
- 3.96 kB
- SHA256:
- 2fa09505af963a55ee0b88c2a08e9232d08379ee1f01917453e870a70df23362
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