print('hello')
# %%
import open_clip
import torch

do_load = True
if do_load:


    model_name = 'hf-hub:timm/ViT-L-16-SigLIP2-512'
#    pretrained_name = 'webli'
    model, preprocess = open_clip.create_model_from_pretrained('hf-hub:timm/ViT-L-16-SigLIP2-512')

#    model, _, preprocess = open_clip.create_model_and_transforms(model_name, pretrained=pretrained_name)
    device = 'cpu'
    model.eval()
    tokenizer = open_clip.get_tokenizer(model_name)