# Models API How-To Guide

A more detailed models API how-to guide will be written in future.

In the meantime, please refer to:

 - [Train and run a simplified global weather model](project:/notebooks/tutorial/FourCastMini_Demo.ipynb) for a guide on training a reduced-resolution version of the published FourCastNeXt model by [Guo et al. (2024)](https://doi.org/10.48550/arXiv.2401.05584).
 - [Train a model with the MLX framework using low hardware requirements](project:/notebooks/tutorial/MLX-Demo-Custom-Arch.ipynb) for a guide on training a model using the MLX machine learning framework
 - [Nowcasting Autoencoder Tutorial](project:/notebooks/tutorial/AutoEncoder_Example.ipynb) for a guide on training an autoencoder with the PyTorch machine learning framework
 - [Forecasting ENSO using Machine Learning](project:/notebooks/tutorial/ENSO_Tutorial/ENSO_Forecast.ipynb) for a guide on training an XGBoost model for ENSO prediction
 - [FourCastNeXt Training Demo](project:/notebooks/tutorial/FourCastNeXt_Training.ipynb) for a guide on training a high-resolution global weather model using a version of the published FourCastNeXt model by [Guo et al. (2024)](https://doi.org/10.48550/arXiv.2401.05584).