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", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AvitoTech/SigLIP2-giant-e5small-v2-gating", trust_remote_code=True, device_map="auto")
https://huggingface.co/AvitoTech/SigLIP2-giant-e5small-v2-gating/resolve/main/tokenizer.json
hf download hf://AvitoTech/SigLIP2-giant-e5small-v2-gating/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/AvitoTech/SigLIP2-giant-e5small-v2-gating/resolve/main/tokenizer.json
