智源bge开源一系列多模态向量模型，冲~

import torchfrom transformers import AutoModelMODEL_NAME = "BAAI/BGE-VL-base" # or "BAAI/BGE-VL-large"model = AutoModel.from_pretrained(MODEL_NAME, trust_remote_code=True) # You must set trust_remote_code=Truemodel.set_processor(MODEL_NAME)model.eval()with torch.no_grad():    query = model.encode(        images = "./assets/cir_query.png",         text = "Make the background dark, as if the camera has taken the photo at night"    )    candidates = model.encode(        images = ["./assets/cir_candi_1.png", "./assets/cir_candi_2.png"]    )        scores = query @ candidates.Tprint(scores)