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:
- f1216531af1b9ae8d2f2f0ea56ed55f6a634e5e06749f3d0bd9da10a1d1cfb74
- Size of remote file:
- 35.4 kB
- SHA256:
- 3d07db113976090fc74c6c6876123fd03c437e727729cce4334a903b5abc6307
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