Instructions to use yzhany0r/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yzhany0r/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="yzhany0r/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("yzhany0r/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("yzhany0r/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yzhany0r/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/yzhany0r/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://yzhany0r/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yzhany0r/detr_finetuned_cppe5/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 818d6a4eb7e91d167709c5bbc4755ee70da6ed005325553e57f9612ac7748e7c
- Size of remote file:
- 5.24 kB
- SHA256:
- 05aae02a4f3d958e1b7b48c23dafdd2cf9f4b0573c040169bdb2173cc0b32b90
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