Instructions to use tooltest/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tooltest/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="tooltest/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("tooltest/detr") model = AutoModelForObjectDetection.from_pretrained("tooltest/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tooltest/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/tooltest/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://tooltest/detr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tooltest/detr/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 066ee2c96d860c6685ccb52649947fae8be60100e497fe05c41ec2c2fc836b77
- Size of remote file:
- 4.92 kB
- SHA256:
- b7eb686012723680d6385fbed296c9162d0ec9f144d6a43e05465f3a31ba42f7
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