Instructions to use pyronear/resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyronear/resnet18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pyronear/resnet18") 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/resnet18", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
docs: Updated dataset reference a7e4a19
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docs: Updated README and config 823b978
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feat: Added checkpoints 1837184
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