Image Feature Extraction
Transformers
Safetensors
siglip_vision_model
vision
image-encoder
siglip
siglip2
Instructions to use gwkrsrch/siglip2-so400m-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gwkrsrch/siglip2-so400m-patch16-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="gwkrsrch/siglip2-so400m-patch16-384")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gwkrsrch/siglip2-so400m-patch16-384") model = AutoModel.from_pretrained("gwkrsrch/siglip2-so400m-patch16-384") - Notebooks
- Google Colab
- Kaggle