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Instructions on running the sample notebook

So how do you get this going with BERT fine-tuning, optimization and deployment? Well, thanks to the power of NGC, deploying this demo couldn't be easier. We've taken care of most of the heavy lifting and the NGC Catalog and Private Registry are geared towards simplifying the workflow. Follow these steps to get the notebook running:\nStep 1\nMake sure you have set up OpenShift CLI and you can access the cluster

oc whoami\n

This command should print out the user\nStep 2\nDownload and save the notebook from File Browser tab of the asset in NGC\nStep 3\nStart the notebook

jupyter notebook --ip 0.0.0.0 --port 8888 --allow-root\n

Step 4\nFollow the steps in the notebook to replicate the demo (or tweak to be even more awesome)..\nStep 5\nShow off your work by tweeting @nvidiaai with the hashtag #NGC

Viewing the Jupyter Notebook in NGC

To take a look at this, or any other, notebook; follow these steps:

Navigate to the File Browser tab of the asset in NGC
Select the version you'd like to see
Under the actions menu (three dots) for the .ipynb file select \"View Jupyter\"
There you have it! You can read a notebook for documentation and copy code samples without ever leaving NGC.

System Requirements

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Well, thanks to the power of NGC, deploying this demo couldn't be easier. We've taken care of most of the heavy lifting and the NGC Catalog and [Private Registry](https://developer.nvidia.com/blog/securing-and-accelerating-end-to-end-ai-workflows-with-the-ngc-private-registry/) are geared towards simplifying the workflow. Follow these steps to get the notebook running:\n*Step 1*\nMake sure you have set up OpenShift CLI and you can access the cluster\n```\noc whoami\n```\nThis command should print out the user\n*Step 2*\nDownload and save the notebook from File Browser tab of the asset in NGC\n*Step 3*\nStart the notebook\n```\njupyter notebook --ip 0.0.0.0 --port 8888 --allow-root\n```\n*Step 4*\nFollow the steps in the notebook to replicate the demo (or tweak to be even more awesome)..\n*Step 5*\nShow off your work by [tweeting @nvidiaai](https://twitter.com/intent/tweet?text=.+%40nvidiaai+look+at+the+awesome+demo+I+created+with+%23NGC) with the hashtag #NGC\n\n## Viewing the Jupyter Notebook in NGC\nTo take a look at this, or any other, notebook; follow these steps:\n1. Navigate to the File Browser tab of the asset in NGC\n2. Select the version you'd like to see\n3. Under the actions menu (three dots) for the .ipynb file select \"View Jupyter\"\n4. There you have it! You can read a notebook for documentation and copy code samples without ever leaving NGC.\n\n## System Requirements\n1. [OpenShift]([https://www.openshift.com/](https://www.openshift.com/)) \n2. [Nvidia GPU Operator](https://docs.nvidia.com/datacenter/kubernetes/openshift-on-gpu-install-guide/index.html)\n3. [BERT pre-trained checkpoint](https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_ckpt_large_pretraining_amp_lamb)\n4. [TensorRT](https://ngc.nvidia.com/catalog/containers/nvidia:tensorrt)\n5. [Triton Inference Server](https://ngc.nvidia.com/catalog/containers/nvidia:tritonserver)\n6. 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These cookies may store a unique ID so that our system will remember you when you return. 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