Fix OutOfMemoryError

✅ Solution

OutOfMemoryError in accelerate usually occurs when the model or data is too large to fit in the available GPU memory, especially with large models or batch sizes. To fix it, try reducing batch size, enabling gradient accumulation, using CPU offloading, or leveraging techniques like model parallelism to distribute the model across multiple GPUs if available and properly configured with `accelerate config`.