Instructions to use HHousen/household-rooms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HHousen/household-rooms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HHousen/household-rooms") 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("HHousen/household-rooms") model = AutoModelForImageClassification.from_pretrained("HHousen/household-rooms", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HHousen/household-rooms: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/HHousen/household-rooms/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HHousen/household-rooms/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HHousen/household-rooms/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- e82ecab7e29351480389e464fd25825fb552f2b6208d8d607d587298a249d53c
- Size of remote file:
- 343 MB
- SHA256:
- dfc7eb260068b41bcf5ae58b2f7fe72185e0735c75d42cd74a2d8abde7a1744b
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