Instructions to use davanstrien/leicester_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/leicester_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/leicester_binary") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("davanstrien/leicester_binary") model = AutoModelForImageClassification.from_pretrained("davanstrien/leicester_binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 201e8831a7b290417487a1180c1b449330ce21943ad5077e8ba36153e390e738
- Size of remote file:
- 3.5 kB
- SHA256:
- 67428444ad46362e3a9c86efc10ff41229ed7dbe537adae675a21bfebabfb4b3
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