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You can now fine-tune TTS models with Unsloth! Train, run and save models like Sesame-CSM and OpenAI's Whisper locally with our free notebooks. Unsloth makes TTS training 1.5x faster with 50% less VRAM. GitHub: Docs & Notebooks:

126,420 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von vehas
vehasvor 1 Jahr

Can it be multilingual?

Profilbild von Rainmaker
Rainmakervor 2 Jahren

Here I share an XGBoost model that delivers a 25% CAGR with minimal drawdown on Visa stock. In this free Substack post I share code and commentary for a powerful Machine Learning strategy that delivers powerful returns.

Profilbild von farris 💸
farris 💸vor 1 Jahr

Have you tried to gguf the model? @ngxson has a fork for sesame in llamacpp

Profilbild von Sanyam Bhutani
Sanyam Bhutanivor 1 Jahr

This is awesome!!

Profilbild von /
/vor 1 Jahr

Does it support context length extension (eg YaRN)?

Profilbild von Prince Singh
Prince Singhvor 1 Jahr

Wow

Profilbild von G_Z
G_Zvor 1 Jahr

not familiar with this, curious about the incentive for TTS fine-tuning. (assume this is not doing voice cloning) Would a model with no emotion tags actually learn to handle <laugh> and <sigh> just from a fine-tune?

Profilbild von Shojaei
Shojaeivor 1 Jahr

awesome ! 🔥 but whisper is a STT model not TTS this means unsloth also supports stt?

Profilbild von 0xroyce - τ/Æ
0xroyce - τ/Ævor 1 Jahr

oh my 😦

Profilbild von Piyush
Piyushvor 1 Jahr

🔥🔥

Profilbild von vilsinho
vilsinhovor 1 Jahr

🚀

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