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Updated setup instructions
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svpino committed Nov 13, 2023
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## Apple silicon

If your local environment is running on Apple silicon, you need to build a TensorFlow docker image to run some of the Pipeline Steps on your local computer. This is because SageMaker doesn't provide out-of-the-box TensorFlow images compatible with Apple silicon.
If your local environment is running on Apple silicon, you need to build a TensorFlow docker image to run some of the pipeline steps on your local computer. This is because SageMaker doesn't provide out-of-the-box TensorFlow images compatible with Apple silicon.

You can build the image running the following command:

```bash
$ docker build -t sagemaker-tensorflow-toolkit-local container/.
```

After building this Docker image, the notebook will automatically use it when running the pipeline in Local Mode on your Mac. There's nothing else you need to do.

## Running the code in SageMaker Studio

You can run the code of the program from your local environment. If you are planning to run it from inside SageMaker Studio, you will need to create a Lifecycle Configuration to update the kernel.
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