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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) | |