Hello, human.
Your goal is to demonstrate your coding skills by creating a video recording of your answers to some general knowledge questions, writing an ML API demo using Docker, python3, and a bit of magic, and showing us your exploratory data analysis skills. Please spend minimal effort on graphics and UI, as this is not a test of your UI coding skills. Just don't stress on frontend stuff.
- Please make a video recording of your answers to the questions in the notebook: https://github.com/lemay-ai/fizzbuzz/blob/main/Interview_Questions.ipynb
- Please share the video file with daniel@lemay.ai and matt@lemay.ai
- After you submit the video, please wait for a response confirming that you should proceed to steps 2 and 3, below.
Please fork this repo (you may opt to share a private repo with us to preserve your privacy) and then do the following:
- Create a branch in your forked repo
- Create a container to process inference requests from any pretrained model in the huggingface model hub: https://huggingface.co/models
- Your solution should include server components to support multiple parallel incoming requests (e.g., NGINX/gunicorn)
- Create a notebook to demonstrate requests that POST to the container endpoint and print out the response
- Please explain why you have chosen this model as your demonstration
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Perform exploratory data analysis on any dataset in the huggingface datasets hub: https://huggingface.co/datasets
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Include a notebook that contains your analysis within the repository
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Please explain why you have chosen this dataset for your demonstration of exploratory data analysis
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Commit your code
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Create a pull request and you can approve it yourself and merge the branch into trunk
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Document the process for using your updated repo in README.md so that we can try out your demo ourselves
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Share the repo with the github users dcshapiro and elmathioso