Instructions to use qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad") model = AutoModelForObjectDetection.from_pretrained("qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad/resolve/main/training_args.bin
- Command line
-
hf download hf://qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- ec71412af2be14989dc56a85599bea07f57403588370eb6cddc711e2bc86f160
- Size of remote file:
- 4.86 kB
- SHA256:
- edc02c3871ad6a8f635f81b9fb217547d9ef10bf4f8df8ac4b9fce0d8b686790
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