Zero-Shot Image Classification
Transformers
Safetensors
siglip
siglip2
robotics
droid
image-text-retrieval
image-feature-extraction
Instructions to use SakikoTogawa/siglip2-base-droid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SakikoTogawa/siglip2-base-droid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="SakikoTogawa/siglip2-base-droid") 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("SakikoTogawa/siglip2-base-droid") model = AutoModelForZeroShotImageClassification.from_pretrained("SakikoTogawa/siglip2-base-droid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K