ModelAufgelistetExtern

FAcodec

FAcodec trained on 50k hours speech data, with more timbre diversity and better at reconstructing speakers from podcasts, videos, games or animations. See main repository for example usages.

Quellehuggingface.co/Plachta/FAcodec/tree/a8e5a0a769c9f2da1d283e30ec3be9a21bad0b93

ArtOtherVersionRevision a8e5a0a

Modellquelle

Art: Other
Dateigröße: 1,40 GB
Version: vRevision a8e5a0a
Aktualisiert: 19. Sept. 2026
Downloads: 0
Aufgaben: Audio
Quelle: Hugging Face

Quellenbeschreibung

FAcodec trained on 50k hours speech data, with more timbre diversity and better at reconstructing speakers from podcasts, videos, games or animations.
See main repository for example usages.

Quellen

1 Quelle

Hugging FacePrimärVersion a8e5a0a769c9f2da1d283e30ec3be9a21bad0b93

huggingface.co/Plachta/FAcodec/tree/a8e5a0a769c9f2da1d283e30ec3be9a21bad0b93

Verifiziert 19. Sept.

Modellartefakte

1 Artefakt

pytorch_model.bin

bin · 1,40 GB · SHA-256 29d2d9db0bea…6543 · Hugging Face

Herunterladen

Quellenauszüge

2 Auszüge

Readme19. Sept.huggingface.co/Plachta/FAcodec

--- license: mit pipeline_tag: audio-to-audio --- [FAcodec](https://arxiv.org/pdf/2403.03100) trained on 50k hours speech data, with more timbre diversity and better at reconstructing speakers from podcasts, videos, games or animations. See [main repository](https://github.com/Plachtaa/FAcodec) for example usages.

Note