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 pytorch_model.bin from Thback/zavice: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Thback/zavice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Thback/zavice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Thback/zavice/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- 651572bc6848eea7b8a46f4bc66500e0b120e7b9e0040c56a5bce351f72640f0
- Size of remote file:
- 167 MB
- SHA256:
- 8f289495731f88c87935c235cffe6a57fd1cb14bbbacb51ae176e2178bf2acf6
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