Add adapter过程中peft_config缺少属性

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Describe the bug/ 问题描述
在使用LoRA进行PEFT微调的过程中，模型加载后使用add_adapter，会出现peft_config缺少属性的报错。

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:
  GPU

• Software Environment / 软件环境:
  -- MindSpore version : 2.2.11
  -- Python version: 3.8.18
  -- OS platform and distribution: Ubuntu 20.04

• Excute Mode / 执行模式:
  pynative

To Reproduce / 重现步骤

from mindnlp.transformers import AutoModelForSeq2SeqLM
from mindnlp.peft import get_peft_model, LoraConfig, TaskType

model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-small")
peft_config = LoraConfig(task_type=TaskType.SEQ_2_SEQ_LM, inference_mode=False, r=8, lora_alpha=32, lora_dropout=0.1)

# The approach that works
# model = get_peft_model(model, peft_config)

# The approach that gives error
model.add_adapter(peft_config)
model.enable_adapters()

model.print_trainable_parameters()

Expected behavior / 预期结果

Traceback (most recent call last):
  File "/home/ernaux/Projects/mindspore/tmp/test_adapter.py", line 9, in <module>
    model.add_adapter(peft_config)
  File "/home/ernaux/Projects/mindspore/mindnlp/mindnlp/transformers/integrations/peft.py", line 244, in add_adapter
    inject_adapter_in_model(adapter_config, self, adapter_name)
  File "/home/ernaux/Projects/mindspore/mindnlp/mindnlp/peft/mapping.py", line 131, in inject_adapter_in_model
    if peft_config.is_prompt_learning or peft_config.is_adaption_prompt:
AttributeError: 'LoraConfig' object has no attribute 'is_adaption_prompt'