正在加载视频...

视频加载失败

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:

126,460 次观看 • 1 年前 •via X (Twitter)

11 条评论

vehas 的头像
vehas1 年前

Can it be multilingual?

Rainmaker 的头像
Rainmaker2 年前

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.

farris 💸 的头像
farris 💸1 年前

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

Sanyam Bhutani 的头像
Sanyam Bhutani1 年前

This is awesome!!

/ 的头像
/1 年前

Does it support context length extension (eg YaRN)?

Prince Singh 的头像
Prince Singh1 年前

Wow

G_Z 的头像
G_Z1 年前

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?

Shojaei 的头像
Shojaei1 年前

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

0xroyce - τ/Æ 的头像
0xroyce - τ/Æ1 年前

oh my 😦

Piyush 的头像
Piyush1 年前

🔥🔥

vilsinho 的头像
vilsinho1 年前

🚀

相关视频