📄️ How to upload data for PhariaFinetuning
The finetuning service allows users to upload data via the API before starting their finetuning jobs.
📄️ How to use PhariaFinetuning API
The finetuning service allows users to train models by submitting jobs via the API. The API consists of multiple routes that can be used to start, cancel, and list both running and previous jobs.
📄️ How to deploy a finetuned model from PhariaFinetuning
Once you have finetuned a model using PhariaStudio, you can make the model available in the inference API and in the playground of PhariaStudio by deploying it. The finetuning service will generate periodic checkpoints during and at the end of a finetuning job. Any such checkpoints can be deployed as described below.
📄️ How to troubleshoot PhariaFinetuning
Restoring AIM Backup from S3
📄️ PhariaFinetuning Guided Walk-through
In this tutorial, we'll go through the full finetuning workflow, starting from downloading the dataset, converting it into the required format, uploading it, choosing the hyperparameters, starting a finetuning job and deploying the model.