Instructions to use kvbiii/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kvbiii/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kvbiii/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kvbiii/test") model = AutoModelForObjectDetection.from_pretrained("kvbiii/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kvbiii/test: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/kvbiii/test/resolve/main/training_args.bin
- Command line
-
hf download hf://kvbiii/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kvbiii/test/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 3c056c4578122b6a9d6845cd7dc88f1bcd972c40d25af59fdf071eb82b5858dd
- Size of remote file:
- 5.3 kB
- SHA256:
- 3fdd021faec24698ce2f3869f28666f37a9483d2d18341e80275aa05ac30ac79
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