Instructions to use hwm21/020924-detr-segment-detect-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hwm21/020924-detr-segment-detect-debug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hwm21/020924-detr-segment-detect-debug")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hwm21/020924-detr-segment-detect-debug") model = AutoModelForObjectDetection.from_pretrained("hwm21/020924-detr-segment-detect-debug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hwm21/020924-detr-segment-detect-debug: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/hwm21/020924-detr-segment-detect-debug/resolve/main/training_args.bin
- Command line
-
hf download hf://hwm21/020924-detr-segment-detect-debug/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hwm21/020924-detr-segment-detect-debug/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 24a514ecb7891f806a32845d222e1e1672f9f4c62a27cda87f85ae3685eca3d4
- Size of remote file:
- 5.24 kB
- SHA256:
- f303e3ee81f8b8015f27409a0898409742db082edc3d8148768e6ede7d4c3429
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