# nivibilla/local-llasa-tts

<https://repo.masters-masters.com/en/repos/nivibilla/local-llasa-tts>

[Home](https://repo.masters-masters.com/en) › [nivibilla](https://repo.masters-masters.com/en/owners/nivibilla) › [local-llasa-tts](https://repo.masters-masters.com/en/repos/nivibilla/local-llasa-tts)

nivibilla/local-llasa-tts has 178 stars on GitHub. Its RepoMasters card: Prototype tier. Examples of using the llasa-tts models locally

| Field | Value |
| --- | --- |
| Owner | [nivibilla](https://repo.masters-masters.com/en/owners/nivibilla) |
| Stars | 178 |
| Forks | 22 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [nivibilla/local-llasa-tts](https://github.com/nivibilla/local-llasa-tts) |

## Repository

Examples of using the llasa-tts models locally

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Jupyter Notebook

- [mdipietro09/GenerativeAI · ★ 178 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/mdipietro09/GenerativeAI)
- [datawhalechina/llm-preview · ★ 178 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/datawhalechina/llm-preview)
- [memlabs-research/build-a-quant-trading-strategy · ★ 178 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/memlabs-research/build-a-quant-trading-strategy)
- [mgaitan/curso-python-cientifico · ★ 178 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/mgaitan/curso-python-cientifico)
- [datacarpentry/python-ecology-lesson · ★ 178 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/datacarpentry/python-ecology-lesson)
- [Diyago/ML-DL-scripts · ★ 178 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/Diyago/ML-DL-scripts)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.