Instructions to use ChingizA/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChingizA/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ChingizA/detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ChingizA/detr") model = AutoModelForObjectDetection.from_pretrained("ChingizA/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ChingizA/detr: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ChingizA/detr/resolve/main/training_args.bin
- Command line
-
hf download hf://ChingizA/detr/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/ChingizA/detr/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- b31b1bffa55d5fbf2a0d3a5e3b6860979630c63460ff1b3415b8f8eaf16577fe
- Size of remote file:
- 4.92 kB
- SHA256:
- de8a3f3b1b815f3079beb2671defbc39b23ec73f0dde1eedf1c1ed8973834485
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