Instructions to use robosapiens/room-styles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robosapiens/room-styles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="robosapiens/room-styles") 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("robosapiens/room-styles") model = AutoModelForImageClassification.from_pretrained("robosapiens/room-styles") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
model-index:
- name: room-styles
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy type: accuracy value: 0.4196428656578064
- task:
name: Image Classification
type: image-classification
metrics:
- Downloads last month
- 6