Instructions to use maxencerch/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxencerch/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="maxencerch/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("maxencerch/detr") model = AutoModelForObjectDetection.from_pretrained("maxencerch/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from maxencerch/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/maxencerch/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://maxencerch/detr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/maxencerch/detr/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- f955341d774d5eb440adaa59651452f4a91f369d19004ab095851feec75bfb16
- Size of remote file:
- 4.86 kB
- SHA256:
- 5e45513570aa83ba31b1004035fd9b4da6c838e40a88782993d7b6c83e12a996
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