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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pyronear/rexnet1_3x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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feat: Updated model checkpoint
F-G Fernandezab8513c
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docs: Updated dataset reference
frgfm2ad4b68 -
docs: Fixed README
frgfm789996a -
docs: Updated README and config
frgfm45d101b -
feat: Added checkpoints
frgfm99dda06 -
initial commit
F-G Fernandezadc4133