# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("raulkw/kw-prop-classifier")
model = AutoModelForImageClassification.from_pretrained("raulkw/kw-prop-classifier")Quick Links
kw-prop-classifier
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
Bathroom
Bedroom
Dining Room
House Amenities
House Facade
House Hallway
House Interior
House Lobby
Kitchen
Living Room
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Evaluation results
- Accuracyself-reported0.627
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="raulkw/kw-prop-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")