Instructions to use aviola/detrDominoTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aviola/detrDominoTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="aviola/detrDominoTest")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("aviola/detrDominoTest") model = AutoModelForObjectDetection.from_pretrained("aviola/detrDominoTest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aviola/detrDominoTest: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/aviola/detrDominoTest/resolve/main/training_args.bin
- Command line
-
hf download hf://aviola/detrDominoTest/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aviola/detrDominoTest/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 8ac927abc2049f552ba4dd5c41bee483caa699a1f9eb2f2c324f5205becce4ae
- Size of remote file:
- 5.18 kB
- SHA256:
- 3400d5aa7573a4b7c6de09cb1dd8a458d54ec36868a57911fbfd50be9b5e80b4
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