:orphan: .. _build_model: ####################### Build and Train a Model ####################### **Required background:** Basic Python familiarity and complete the guide. **Goal:** We'll walk you through the creation of a model using PyTorch Lightning. ---- ********************************* A simple PyTorch Lightning script ********************************* Let's assume you already have a folder with those two files. .. code-block:: bash pl_project/ train.py # your own script to train your models requirements.txt # your python requirements. If you don't, simply create a ``pl_project`` folder with those two files and add the following `PyTorch Lightning `_ code in the ``train.py`` file. This code trains a simple ``AutoEncoder`` on `MNIST Dataset `_. .. literalinclude:: ../code_samples/convert_pl_to_app/train.py Add the following to the ``requirements.txt`` file. .. literalinclude:: ../code_samples/convert_pl_to_app/requirements.txt Simply run the following commands in your terminal to install the requirements and train the model. .. code-block:: bash pip install -r requirements.txt python train.py Get through `PyTorch Lightning Introduction `_ to learn more. ---- ********** Next Steps ********** .. raw:: html
.. displayitem:: :header: Evolve a Model into an ML System :description: Develop an App to train a model in the cloud :col_css: col-md-6 :button_link: training_with_apps.html :height: 180 .. displayitem:: :header: Start from a Template ML System :description: Learn about Apps, from a template. :col_css: col-md-6 :button_link: go_beyond_training.html :height: 180 .. raw:: html