ModelBuilder.register does not generate a repack step with a pipeline session in V3 but does in V2

**PySDK Version**
- [ ] PySDK V2 (2.x)
- [ X] PySDK V3 (3.x)

**Describe the bug**
ModelBuilder.register does not generate a repack step with a pipeline session in V3 but does in V2

**To reproduce**
A clear, step-by-step set of instructions to reproduce the bug.
The provided code need to be **complete** and **runnable**, if additional data is needed, please include them in the issue.

```
model_builder = ModelBuilder(
image_uri=image_uri,
s3_model_data_url=data_url,
source_code=SourceCode(
entry_script="infer.py",
source_dir=s3_script_archive,
),
role_arn=role,
sagemaker_session=pipeline_session,
env_vars={"SAGEMAKER_DEFAULT_INVOCATIONS_ACCEPT": "application/json"},
)
...
step_register = ModelStep(
name="RegisterModel",
step_args=model_builder.register(
content_types=["application/jsonlines"],
response_types=["application/json"],
inference_instances=[inference_instance_type],
transform_instances=[inference_instance_type],
model_package_group_name=model_package_group_name,
approval_status="Approved",
)
)
```

**Expected behavior**
A clear and concise description of what you expected to happen.
In V2, the model was repacked with the code present. In V3, the model is not, leaving the model unable to be repacked

**Screenshots or logs**
If applicable, add screenshots or logs to help explain your problem.

**System information**
A description of your system. Please provide:
- **SageMaker Python SDK version**: 2
- **Framework name (eg. PyTorch) or algorithm (eg. KMeans)**: ScikitLearn
- **Framework version**: 1.4.2
- **Python version**: 3.11
- **CPU or GPU**: CPU
- **Custom Docker image (Y/N)**: N

**Additional context**
Add any other context about the problem here.

从与 pipeline_session 一起使用的入口点 ModelBuilder.register 开始，并将其 V3 行为与 issue 中描述的 V2 行为进行比较。使用所示的 SourceCode 和模型数据重现 ModelStep 注册，然后验证是否生成了 repack 步骤，以及已注册的模型是否包含代码。

由索引模型根据 Issue 内容生成。