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:
- 5b98ebf42ce9baaf33903e568098943bb4ec25876befb1aa59ae04822a7886e0
- Size of remote file:
- 343 MB
- SHA256:
- 82d07dbc0f372c29d2efda8e0bfa73f7ed97931367396f7e731e7616bdbda2e2
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