sed more often than they are trained</strong>.</p>
<p>The PyTorch ecosystem has many tools for training models. However, this is only the beginning of the journey. Once a model has been trained, it will be shared, and used in a multitude of contexts, often on a daily basis, in operations, evaluation, comparision and experimentation by data scientists. The <em>use</em> of the trained model, is how value is extracted out of its weights. Despite this important fact, support for using deep-learning models up to