Instructions to use google/siglip2-base-patch16-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/siglip2-base-patch16-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="google/siglip2-base-patch16-512") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/siglip2-base-patch16-512", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "initializer_factor": 1.0, | |
| "model_type": "siglip", | |
| "text_config": { | |
| "model_type": "siglip_text_model", | |
| "vocab_size": 256000 | |
| }, | |
| "transformers_version": "4.49.0.dev0", | |
| "vision_config": { | |
| "image_size": 512, | |
| "model_type": "siglip_vision_model" | |
| } | |
| } | |