Instructions to use JuanMa360/kitchen-layouts-2.2.1-86M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuanMa360/kitchen-layouts-2.2.1-86M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JuanMa360/kitchen-layouts-2.2.1-86M") 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("JuanMa360/kitchen-layouts-2.2.1-86M") model = AutoModelForImageClassification.from_pretrained("JuanMa360/kitchen-layouts-2.2.1-86M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 275bae68dd7e2c9e034b98991bba8d2a0924b5f3a870bd42456c56122a3b59bc
- Size of remote file:
- 99.4 kB
- SHA256:
- a0e64fb5387743be55d4e2b84a4ccb824b99e2f7335ef487ea48a49124eff42d
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