[Question] Error loading inference after model fine-tuning 模型微调后加载时出错

[LittleGreenYuan]

What is your question?

问题：模型微调后加载时出错
Question: Error loading inference after model fine-tuning

RuntimeError: SequenceLabelingPipeline: SequenceLabelingModel: Error(s) in loading state_dict for SequenceLabelingModel:
Missing key(s) in state_dict: "embedder.transformer_model.embeddings.position_ids".

What have you tried?

我完全按照官方教程进行的微调，没有进行额外的代码修改，自动保存的微调模型无法加载。
I completely followed the official tutorial for fine-tuning without making any additional code modifications, and the automatically saved fine-tuning model cannot be loaded.

Code (if necessary)

Code:
python```
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
p = pipeline(
Tasks.named_entity_recognition,
'/root/experiments/experiments/CMeEE-cmeee/20240227_093521/output_best'
)
result = p('对儿童SARST细胞亚群的研究表明，与成人SARS相比，儿童细胞下降不明显，证明上述推测成立。')
print(result)

### What's your environment?

- AdaSeq Version (e.g., 1.0 or master): 0.6.6
- ModelScope Version (e.g., 1.0 or master): 1.12.0
- PyTorch Version (e.g., 1.12.1): 2.2.1
- OS (e.g., Ubuntu 20.04): Ubuntu 20.04
- Python version: 3.11
- CUDA/cuDNN version: 
- GPU models and configuration: RTX3090
- Any other relevant information:


### Code of Conduct

- [X] I agree to follow this project's Code of Conduct

[LittleGreenYuan]

不要用Jupyter notebook去加载