Align Remote function classes to ModelTrainer: Include training_plan_arn to remote function classes @remote decorator and RemoteExecutor

**Describe the feature you'd like**
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ModelTrainer and Estimator classes currently support training_plan_arn, in order to run training workload by leveraging the instances included in the plan. This functionality is not currently available with remote function classes, which is adopted by customer to start prototyping workloads on Amazon SageMaker.

**How would this feature be used? Please describe.**
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```
@remote(
...
training_plan_arn="arn.1234....."
)
def train(args):
pass
```

**Describe alternatives you've considered**
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There are no alternative solutions

**Additional context**
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Comienza comparando cómo ModelTrainer y Estimator aceptan y usan training_plan_arn; después, sigue las rutas de @remote decorator y RemoteExecutor para una configuración equivalente. Define el flujo esperado de la ARN desde los argumentos del decorador hasta la ejecución remota y añade cobertura que muestre que una remote function puede iniciarse con el training plan especificado.

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