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
- Xet hash:
- 883ff963ed65f47721e655edd8840d12935c3233c33250cce8175f1b373e96f8
- Size of remote file:
- 14.4 MB
- SHA256:
- e536564ef97d2aed90a7572f08ca752087fc10f7c3544911edca70f473d55fc7
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