Instructions to use pyronear/resnet34 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyronear/resnet34 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pyronear/resnet34") 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/resnet34", dtype="auto") - Notebooks
- Google Colab
- Kaggle
frgfm commited on
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0b95326
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Parent(s): 9a4164a
feat: Added checkpoints
Browse files- model.onnx +3 -0
- pytorch_model.bin +3 -0
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