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:
- 39b88d2daffcfe5082bc8b132b7b7cb51da4d1d7283d11ac7e19c3291d908ca8
- Size of remote file:
- 119 kB
- SHA256:
- e8c4fe09b54c05f3f534d2effb2093ea69143d97e863b8d60efdcc2e94ade6af
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