Image Classification
Transformers
Safetensors
siglip
multi-label
fashion
apparel
siglip2
augmentation
Instructions to use resoa/garment-attributes-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use resoa/garment-attributes-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="resoa/garment-attributes-v2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("resoa/garment-attributes-v2") model = AutoModelForImageClassification.from_pretrained("resoa/garment-attributes-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K