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:
- 17f5943ce1f1c39846820edfae58f161129628dfddecb32f726af35b870743ec
- Size of remote file:
- 102 kB
- SHA256:
- 22a429f94f3931b013071e9cf3d90a459545935bd7a681e4eb22a714be542045
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