Instructions to use benashbe/residential-rooms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benashbe/residential-rooms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="benashbe/residential-rooms") 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("benashbe/residential-rooms") model = AutoModelForImageClassification.from_pretrained("benashbe/residential-rooms") - Notebooks
- Google Colab
- Kaggle
residential-rooms
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
home stairwell
residential bedroom
residential dining room
residential kitchen
residential living room
- Downloads last month
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Evaluation results
- Accuracyself-reported0.750




