Instructions to use Teele/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teele/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Teele/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Teele/detr") model = AutoModelForObjectDetection.from_pretrained("Teele/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Teele/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Teele/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://Teele/detr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Teele/detr/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- a9233b3ffb7d56c7605488317c08e1c7d8ef1e50d66329a87e694bc31efe38ce
- Size of remote file:
- 4.86 kB
- SHA256:
- 46dd44a5e7b82b19f3b844b76837ddafb409655a81ce4407f686832ba4856976
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