Add additional dependencies for ModelTrainer

**Describe the feature you'd like**
When migrating from sagemaker v2 to v3, the [Estimator](https://sagemaker.readthedocs.io/en/v2.256.0/api/training/estimators.html?highlight=tensorboardoutputconfig#sagemaker.estimator.Estimator) can be replaced by ModelTrainer. However, the ~~`tensorboard_output_config`and~~ `dependencies` parameters in Estimator has no equivalent in the ModelTrainer. This functionality would be useful to have in ModelTrainer to maintain feature parity with the v2 Estimator.

**How would this feature be used? Please describe.**
* Allows the import of additional source files and dependencies into the model training container.
~~* Allows debugging visualization using TensorBoard, with customization on the location in Amazon S3 to store the output, as well as the local path in the container.~~ (addressed by [ModelTrainer.with_tensorboard_output_config](https://sagemaker.readthedocs.io/en/v2.253.1/api/training/model_trainer.html#sagemaker.modules.train.model_trainer.ModelTrainer.with_tensorboard_output_config))

**Describe alternatives you've considered**
None

**Additional context**
None

从 ModelTrainer 入口点开始，将其处理方式与 v2 Estimator 的 `dependencies` 参数进行比较。跟踪其他源文件和依赖项如何进入训练容器，然后验证 ModelTrainer 支持所请求的 import，并保留文档中说明的训练行为。

由索引模型根据 Issue 内容生成。