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:
- 5e7707482c59c1a8772d680271f514640af2877b026d305e70a6f2adec7ad531
- Size of remote file:
- 62.8 kB
- SHA256:
- 6118e8ea57bb03279a805e0f19880e4f25f9a15374702c67a55406a7b6d41f9c
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