modelscope模型训练完之后，怎么使用的是T5？

请问你是怎么训练的呀，我一直报错： zip_file.write_record(name, storage.data_ptr(), num_bytes)
MemoryError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "F:\study\graduationProject\vue2_mt5\vue_flask\finetune.py", line 61, in
trainer.train()
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\trainer.py", line 711, in train
self.train_loop(self.train_dataloader)
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\trainer.py", line 1243, in train_loop
self.invoke_hook(TrainerStages.after_train_epoch)
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\trainer.py", line 1395, in invoke_hook
getattr(hook, fn_name)(self)
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\hooks\checkpoint\checkpoint_hook.py", line 177, in after_train_epoch
self._do_save(trainer, CheckpointStrategy.by_epoch)
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\hooks\checkpoint\checkpoint_hook.py", line 160, in _do_save
self._save_checkpoint(trainer, prefix)
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\hooks\checkpoint\checkpoint_hook.py", line 224, in _save_checkpoint
self.processor.save_checkpoints(trainer, checkpoint_path_prefix,
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\hooks\checkpoint\checkpoint_processor.py", line 126, in save_checkpoints
self.save_trainer_state(trainer, model, _train_state_file, meta,
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\hooks\checkpoint\checkpoint_processor.py", line 192, in save_trainer_state
save_checkpoint(
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\modelscope\utils\checkpoint.py", line 114, in save_checkpoint
torch.save(checkpoint, f)
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\torch\serialization.py", line 620, in save
return
File "D:\tool\Anaconda\anaconda3\envs\modelscope\lib\site-packages\torch\serialization.py", line 482, in exit
self.file_like.write_end_of_file()
RuntimeError: [enforce fail at inline_container.cc:424] . unexpected pos 1237267904 vs 1237267856

iic/nlp_mt5_zero-shot-augment_chinese-base 模型在ModelScope中的实现是基于T5架构的，这是因为MT5（多语言版T5）就是由Google团队基于T5模型进行改造以适应多语言任务的版本。

iic/nlp_mt5_zero-shot-augment_chinese-base 模型虽然在 ModelScope 中被提及，但其本质上基于 T5 架构，因为 MT5 (Multilingual T5) 是 T5 模型的一个多语言版本变种，因此在使用过程中会表现出与 T5 相似的特征。