Instructions to use team-lucid/siglip-base-patch32-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/siglip-base-patch32-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="team-lucid/siglip-base-patch32-ko") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("team-lucid/siglip-base-patch32-ko") model = AutoModelForZeroShotImageClassification.from_pretrained("team-lucid/siglip-base-patch32-ko") - Notebooks
- Google Colab
- Kaggle