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
Commit ·
30977a1
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Parent(s): e61a995
feat: Added ONNX model
Browse files- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:19fc51e27a5c21c1cf482c7e03594d5cf2de6b8a6c3483c275781a144f0035a5
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size 14102483
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