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 Please make sure to replace your_hugging_face_token_here with your actual Hugging Face token to enable model downloads that require it.
 
 Ensure that you have Docker installed and properly set up before running the docker build commands. Once built, you can deploy this serverless worker in your desired environment with confidence that it will automatically scale based on demand. For further inquiries or assistance, feel free to contact our support team.
-
-## 📖 | Getting Started
-
-1. Clone this repository.
-2. (Optional) Add DockerHub credentials to GitHub Secrets.
-3. Add your code to the `src` directory.
-4. Update the `handler.py` file to load models and process requests.
-5. Add any dependencies to the `requirements.txt` file.
-6. Add any other build time scripts to the`builder` directory, for example, downloading models.
-7. Update the `Dockerfile` to include any additional dependencies.
-
-### CI/CD
-
-This repository is setup to automatically build and push a docker image to the GitHub Container Registry. You will need to add the following to the GitHub Secrets for this repository to enable this functionality:
-
-- `DOCKERHUB_USERNAME` | Your DockerHub username for logging in.
-- `DOCKERHUB_TOKEN` | Your DockerHub token for logging in.
-- `DOCKERHUB_REPO` | The name of the repository you want to push to.
-- `DOCKERHUB_IMG` | The name of the image you want to push to.
-
-The `CD-docker_dev.yml` file will build the image and push it to the `dev` tag, while the `CD-docker_release.yml` file will build the image on releases and tag it with the release version.
-
-The `CI-test_worker.yml` file will test the worker using the input provided by the `--test_input` argument when calling the file containing your handler. Be sure to update this workflow to install any dependencies you need to run your tests.
-
-## 💡 | Best Practices
-
-System dempendency installation, model caching, and other shell tasks should be added to the `builder/setup.sh` this will allow you to easily setup your Dockerfile as well as run CI/CD tasks.
-
-Models should be part of your docker image, this can be accomplished by either copying them into the image or downloading them during the build process.
-
-If using the input validation utility from the runpod python package, create a `schemas` python file where you can define the schemas, then import that file into your `handler.py` file.
-
-## 🔗 | Links
-
-🐳 [Docker Container](https://hub.docker.com/r/runpod/serverless-hello-world)