Instructions to use pyronear/rexnet1_3x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyronear/rexnet1_3x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pyronear/rexnet1_3x") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pyronear/rexnet1_3x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f36cdd512930e354c7bb1d85c661b2b45ab168bcbf1788f134d99bf830205ae
- Size of remote file:
- 23.9 MB
- SHA256:
- 6445365e219389fb3bbe6e37f3a8442e30a5faebc014a3d18719d552efb2296d
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