Instructions to use distill-lab/dit02_train_on_siglip2_large_initial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distill-lab/dit02_train_on_siglip2_large_initial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="distill-lab/dit02_train_on_siglip2_large_initial") 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("distill-lab/dit02_train_on_siglip2_large_initial") model = AutoModelForImageClassification.from_pretrained("distill-lab/dit02_train_on_siglip2_large_initial") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!