Image Classification
Transformers
PyTorch
clip
fashion
computer-vision
multi-task-learning
product-attribute-extraction
spatial-color-features
test-time-augmentation
hierarchical-classification
Instructions to use mohsin416/fashion-attribute-lab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohsin416/fashion-attribute-lab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mohsin416/fashion-attribute-lab") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mohsin416/fashion-attribute-lab", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K