Instructions to use sars973/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sars973/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="sars973/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("sars973/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("sars973/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sars973/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/sars973/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://sars973/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sars973/detr_finetuned_cppe5/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- a8f20494d6cd2c9b6f8c9db8b4a0909235d76fe4df57826317b88bae172db59d
- Size of remote file:
- 5.37 kB
- SHA256:
- c8a65deb062a3f3fe717499880fcfddccd93cf76852122248de0769693bd61bc
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