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import torch
from transformers import AutoModelForCausalLM
torch.manual_seed(1234)
qwen_model_path = 'pretrained/Qwen-VL-Chat'
save_path = 'pretrained/QwenViT/qwen_vit_G.pt'
model = AutoModelForCausalLM.from_pretrained(qwen_model_path, device_map="cpu", trust_remote_code=True).eval()
visual_encoder = model.transformer.visual
print(visual_encoder)
torch.save(visual_encoder.state_dict(), save_path)
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