Instructions to use pyronear/rexnet1_0x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyronear/rexnet1_0x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pyronear/rexnet1_0x") 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_0x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
frgfm commited on
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Parent(s): 227f36f
feat: Added config
Browse files- config.json +1 -0
config.json
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{"mean": [0.485, 0.456, 0.406], "std": [0.229, 0.224, 0.225], "arch": "rexnet1_0x", "interpolation": "bilinear", "input_shape": [3, 224, 224], "classes": ["Wildfire"]}
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