Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
Instructions to use JuanMa360/room-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuanMa360/room-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JuanMa360/room-classifier") 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("JuanMa360/room-classifier") model = AutoModelForImageClassification.from_pretrained("JuanMa360/room-classifier") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 9
Spaces using JuanMa360/room-classifier 3
Evaluation results
- Accuracyself-reported0.914






