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:
- 24b087b0cef357065209857797652582644d32ab249b142808e2744c275d07bd
- Size of remote file:
- 343 MB
- SHA256:
- e6a90d84c51dfa0abd19d719ac690ec75033f865e09e3d7ebe6bf2a7680ad5c9
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