Instructions to use JuanMa360/room-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuanMa360/room-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JuanMa360/room-classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("JuanMa360/room-classification") model = AutoModelForImageClassification.from_pretrained("JuanMa360/room-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/others.jpg from JuanMa360/room-classification: direct link, hf CLI and curl.
- Browser
- Download file 18.6 kB
-
https://huggingface.co/JuanMa360/room-classification/resolve/main/images/others.jpg
- Command line
-
hf download hf://JuanMa360/room-classification/images/others.jpg
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curl -L -o others.jpg https://huggingface.co/JuanMa360/room-classification/resolve/main/images/others.jpg
18.6 kB

- Xet hash:
- 7dbf5b228cfef196e3b69b87e76f07c5aeee6bb5f57e8da8bf76598b60be8237
- Size of remote file:
- 18.6 kB
- SHA256:
- aa52fe0238e50f35beaa14d609a1791519d51ba2b37b8c985a836eb5f80cfc54
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