Instructions to use Papimon/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Papimon/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Papimon/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Papimon/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Papimon/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Papimon/detr_finetuned_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/Papimon/detr_finetuned_cppe5/resolve/main/training_args.bin
- Command line
-
hf download hf://Papimon/detr_finetuned_cppe5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Papimon/detr_finetuned_cppe5/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- b04d0bf4fb339379cbd25c22bede2523aa1991876e5bd265eb56656fea6109c5
- Size of remote file:
- 5.84 kB
- SHA256:
- 273f88bf40565956fc3f1633fbda990b5da0a95eb5c7e1380bef9659bd3914bc
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