Instructions to use amSOwO/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amSOwO/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="amSOwO/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("amSOwO/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("amSOwO/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amSOwO/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/amSOwO/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://amSOwO/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amSOwO/detr_finetuned_cppe5/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 43dd1d22db0a15d9802224780fd34532c8d9dc7aaf0d11fb732806828ed84a66
- Size of remote file:
- 5.78 kB
- SHA256:
- d9e262086ce5a55a40fc94d6c5e6c7165903b5e46a1d2e7f8fa8c20b8a7091fe
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