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      <description>Blogs about Deep Learning and NLP</description>
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      <managingEditor>raviraja.ghanta@gmail.com (Raviraja Ganta)</managingEditor>
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    <title>MLOps Basics [Week 4]: Model Packaging - ONNX</title>
    <link>https://tailwind-nextjs-starter-blog.vercel.app/blog/mlops-onnx</link>
    <description>Models can be built using any machine learning framework available out there (sklearn, tensorflow, pytorch, etc.). We might want to run in a different framework (trained in pytorch, inference in tensorflow). A common file format will help a lot. In this post, let's see how to do this using ONNX.</description>
    <pubDate>Mon, 28 Jun 2021 00:00:00 GMT</pubDate>
    <author>raviraja.ghanta@gmail.com (Raviraja Ganta)</author>
    <category>mlops</category><category>deeplearning</category><category>nlp</category><category>deployment</category><category>model</category><category>compression</category><category>packaging</category><category>onnx</category>
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