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training.md

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If you are developing on a TPU VM directly, use a virtual environment to avoid conflicts with the system-level Python packages.
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#### 1. Prerequisites
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### 1. Prerequisites
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Ensure you have **Python 3.11+** installed.
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```bash
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python3 --version
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If you prefer not to manage a virtual environment or want to deploy this as a container, you can build a Docker image.
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## 1. Create a Dckerfile
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### 1. Create a Dckerfile
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Create a file named `Dockerfile` in the root of the repository:
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```dockerfile
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You can use this dockerfile to run the DLRM model experiment from this repo in your own environment.
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## 2. Build the Image
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### 2. Build the Image
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Run this command from the root of the repository. It reads the `Dockerfile`, installs all dependencies, and creates a ready-to-run image.
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```bash
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docker build -t recml-training .
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```
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## 3. Run the Image
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### 3. Run the Image
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```bash
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docker run --rm --privileged \

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