Instructions to use joe611/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joe611/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="joe611/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("joe611/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("joe611/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joe611/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/joe611/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://joe611/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joe611/detr_finetuned_cppe5/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 4c9f8104a5db0d040c80015a9c0398eca641df938db965b170bd989dd218793f
- Size of remote file:
- 5.18 kB
- SHA256:
- d5045c098c0b4d5d7a4aa7f11555c52e3cde6fd5dc391464c04e75639007eedd
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