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 pytorch_model.bin from Yethi/UIED_DETR: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yethi/UIED_DETR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yethi/UIED_DETR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yethi/UIED_DETR/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- 6f07b5e577a0da5d1f65c057e9d0130444b5122ea99155365d73e97c1b739c17
- Size of remote file:
- 167 MB
- SHA256:
- b338d3776bae7ab6be8a7511d95eb876be3988ae13145bc16150be5b58283fb2
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