Instructions to use pyronear/rexnet1_5x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyronear/rexnet1_5x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pyronear/rexnet1_5x") 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_5x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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feat: Updated model checkpoint
F-G Fernandez0b1d1e5
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docs: Updated dataset reference
frgfm3c30aad -
docs: Fixed README
frgfma814228 -
docs: Updated README and config
frgfmcc54375 -
feat: Added checkpoints
frgfmf4ab5ac -
initial commit
F-G Fernandez4109936