Instructions to use KIRANKALLA/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KIRANKALLA/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="KIRANKALLA/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("KIRANKALLA/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("KIRANKALLA/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KIRANKALLA/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/KIRANKALLA/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://KIRANKALLA/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KIRANKALLA/detr_finetuned_cppe5/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 0a0d04207ca01984e34a7d883bc8f5b33f45b27c63c0ee4f73c304e0d9041b96
- Size of remote file:
- 5.11 kB
- SHA256:
- c7b9b532c05a1f40812ad3cfbf8c02fbd3fcaa4769f1b07dc55e396c1dc4f7d3
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