Using an ML agent to train an open-source TTS model on your voice
Melvin Vivas · X post · 2026-10-02 · Open on X
Topics: Fine-tuning & Model Customization, AI Agents, Tool Use & MCP · Level: intermediate
Summary
The creator's ML Grok Bot explained how to fine-tune an open-source text-to-speech model on his own voice. He plans to add a Hugging Face skill so the agent can start a cloud GPU and run the training itself.
Key points
- An agent with an ML role can walk you through fine-tuning an open-source TTS model on your own voice recordings.
- There are two ways to get compute: plug in your own local GPU, or give the agent a Hugging Face skill so it can start a GPU itself.
- Skills or tools that let an agent provision compute turn it from an advisor into something that actually runs the training.
Resources mentioned
- Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
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An early-beta AI agent product from the Grok family that runs in its own computer and browser instance and does tasks in your tools.
Also in: An agent bot that installs and drives Codex on its own (Melvin Vivas on X · notes), Asking a Coder bot to install Codex (Melvin Vivas on X · notes), Organizing Grok Bot Lead Collection in One Google Sheet (Melvin Vivas on X · notes), Chief-of-staff bot that delegates to other bots (Melvin Vivas on X · notes) and 14 more
Try this
- Fine-tune an open-source TTS model on your own voice, with an agent that starts a Hugging Face GPU and runs the training.