Instructions to use Rookieez/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rookieez/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Rookieez/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Rookieez/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Rookieez/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rookieez/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Rookieez/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://Rookieez/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rookieez/detr_finetuned_cppe5/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 72581e8560b7d226854c0b742632e699ab11cf652f09906db4e22c18d4de680f
- Size of remote file:
- 5.3 kB
- SHA256:
- 69a5d8032da3aabb68a35310373d53401a0abc3b008f6ad736b3b8e1225b441a
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