Instructions to use gollark/siglip-so400m-14-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gollark/siglip-so400m-14-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="gollark/siglip-so400m-14-384") 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("gollark/siglip-so400m-14-384") model = AutoModelForZeroShotImageClassification.from_pretrained("gollark/siglip-so400m-14-384") - Notebooks
- Google Colab
- Kaggle
SigLIP-So400m/14@384
SigLIP model converted to HF for Meme Search Engine. Try the official demo here.
- Downloads last month
- 12