safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

[slrhs]

Have you ever encountered this problem with friends? How can I solve it？Thanks！

[slrhs]

Traceback (most recent call last):
File "vq2_zeroshot/vq2_vqa_blip2.py", line 12, in
model, vis_processors, _ = load_model_and_preprocess(name="blip2", model_type="pretrain", is_eval=True, device=device)
File "/home/david/hyr/erasing/autodl-tmp/stable-diffusion-main/wysiwyr/LAVIS/lavis/models/init.py", line 205, in load_model_and_preprocess
model = model_cls.from_pretrained(model_type=model_type)
File "/home/david/hyr/erasing/autodl-tmp/stable-diffusion-main/wysiwyr/LAVIS/lavis/models/base_model.py", line 70, in from_pretrained
model = cls.from_config(model_cfg)
File "/home/david/hyr/erasing/autodl-tmp/stable-diffusion-main/wysiwyr/LAVIS/lavis/models/blip2_models/blip2_qformer.py", line 514, in from_config
model = cls(
File "/home/david/hyr/erasing/autodl-tmp/stable-diffusion-main/wysiwyr/LAVIS/lavis/models/blip2_models/blip2_qformer.py", line 71, in init
self.Qformer, self.query_tokens = self.init_Qformer(
File "/home/david/hyr/erasing/autodl-tmp/stable-diffusion-main/wysiwyr/LAVIS/lavis/models/blip2_models/blip2.py", line 54, in init_Qformer
Qformer = BertLMHeadModel.from_pretrained(
File "/home/david/anaconda3/envs/lavis/lib/python3.8/site-packages/transformers/modeling_utils.py", line 2895, in from_pretrained
state_dict = load_state_dict(resolved_archive_file)
File "/home/david/anaconda3/envs/lavis/lib/python3.8/site-packages/transformers/modeling_utils.py", line 467, in load_state_dict
with safe_open(checkpoint_file, framework="pt") as f:
safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

[LQY404]

hi, have you solve this problem, i find this problem in my task, could you give me hands, thanks.