<jupyter_start><jupyter_text>Deploy Model to PipelineAIYou will need to fill in the unique values for the following:* ``  - 8 character id that uniquely identifies the PipelineAI user.  You will see the UserId in the upper right hand corner of the Settings tab after you login to [PipelineAI Community Edition](https://community.cloud.pipeline.ai)![user-id](https://pipeline.ai/assets/img/user-id.png)<jupyter_code>%%bash

pipeline predict-http-test --endpoint-url=https://community.cloud.pipeline.ai/predict/<YOUR_USER_ID>/mnist/invoke --test-request-path=./mnist_model/pipeline_test_request.json --test-request-concurrency=100<jupyter_output><empty_output>
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '622147', 'license': 'Apache-2.0', 'n_tokens_mistral': 206, 'n_tokens_neox': 200, 'n_words': 51, 'path': '05_Test_Model.ipynb', 'repo_name': 'Radrangi/pipeainotebooks', 'size': '658'}