Instructions to use andupets/real-estate-image-classification-30classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andupets/real-estate-image-classification-30classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="andupets/real-estate-image-classification-30classes") 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("andupets/real-estate-image-classification-30classes") model = AutoModelForImageClassification.from_pretrained("andupets/real-estate-image-classification-30classes") - Notebooks
- Google Colab
- Kaggle
🚩 Report: Ethical issue(s)
#2 opened about 2 years ago
by
Fahedk2
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot