# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("lazyturtl/roomclassifier")
model = AutoModelForImageClassification.from_pretrained("lazyturtl/roomclassifier")Quick Links
roomclassifier
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
DinningRoom
Kitchen
Laundry room
Livingroom
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Evaluation results
- Accuracyself-reported0.940
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lazyturtl/roomclassifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")