Instructions to use Thback/zavice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thback/zavice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Thback/zavice")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Thback/zavice") model = AutoModelForObjectDetection.from_pretrained("Thback/zavice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Thback/zavice: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/Thback/zavice/resolve/main/training_args.bin
- Command line
-
hf download hf://Thback/zavice/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Thback/zavice/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- c6c43d8470c31b47d904ac4a2af3811891dba55cfbc92bd4d6930e4805bfee9e
- Size of remote file:
- 4.47 kB
- SHA256:
- fc9dcc9805cc1427cb4a3a494a395b42baf68f4d134f3ccd7d24a3a418e7d72a
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