Get Started
Install TorchStudio, load the MNIST dataset and train a model to recognize handwritten digits.
![](/assets/tutorials/getstarted.png)
Load Custom Datasets
Use the GenericLoader dataset to load classification and segmentation datasets and apply transforms.
![](/assets/tutorials/customdatasets.png)
Transfer Learning
Format the CIFAR10 dataset, train untrained and pre-trained models and see how their performance compare.
![](/assets/tutorials/transferlearning.png)
Fine-Tune a Model
Edit the CMUARCTIC dataset to fine-tune a customizable model on repairing clipped audio waveforms.
![](/assets/tutorials/finetune.png)
Use Remote Servers
Prepare, add and use a remote server for dataset loading, model training and inference.
![](/assets/tutorials/remoteservers.png)
IDE Extensions
Install the extensions, add TorchStudio to your IDE project, drag your scripts, and export the weights back to your IDE.
![](/assets/tutorials/ideextensions.png)