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You can try CodeFlare by running the docker image from [Docker Hub](https://hub.docker.com/r/projectcodeflare/codeflare/tags):
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or http://127.0.0.1:8888/?token=<token>
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```
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Once the notebook is loaded, you can find a selection of examples in `codeflare/notebooks`, which can be executed directly from Jupyter environment. As a first example, we recommend the `sample_pipeline.ipynb` notebook.
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#### Using Binder service
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You can try out some of CodeFlare features using the My Binder service.
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Click on a link below to try CodeFlare, on a sandbox environment, without having to install anything.
The pipeline will use `ray.init()` to start a local Ray cluster. See [configuring Ray](https://docs.ray.io/en/master/configure.html) to ensure you are able to run a Ray cluster locally.
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