Feature Extraction
Transformers
Safetensors
siglip
zero-shot-image-classification
siglip2
vision
text
clip
multimodal
image-text-embeddings
pet-recognition
Instructions to use AvitoTech/SigLIP2-giant-e5small-v2-gating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AvitoTech/SigLIP2-giant-e5small-v2-gating with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AvitoTech/SigLIP2-giant-e5small-v2-gating")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("AvitoTech/SigLIP2-giant-e5small-v2-gating") model = AutoModelForZeroShotImageClassification.from_pretrained("AvitoTech/SigLIP2-giant-e5small-v2-gating") - Notebooks
- Google Colab
- Kaggle
Ctrl+K