Text-to-Speech
Pocket-TTS
Safetensors
Korean
audio
korean
voice-cloning
sentencepiece
knowledge-distillation
Instructions to use seastar105/pocket-tts-korean-100m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pocket-TTS
How to use seastar105/pocket-tts-korean-100m with Pocket-TTS:
from pocket_tts import TTSModel import scipy.io.wavfile tts_model = TTSModel.load_model("seastar105/pocket-tts-korean-100m") voice_state = tts_model.get_state_for_audio_prompt( "hf://kyutai/tts-voices/alba-mackenna/casual.wav" ) audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.") # Audio is a 1D torch tensor containing PCM data. scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy()) - Notebooks
- Google Colab
- Kaggle
Download assets/cv3_ema_sweep.png from seastar105/pocket-tts-korean-100m: direct link, hf CLI and curl.
- Browser
- Download file 48.1 kB
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https://huggingface.co/seastar105/pocket-tts-korean-100m/resolve/main/assets/cv3_ema_sweep.png
- Command line
-
hf download hf://seastar105/pocket-tts-korean-100m/assets/cv3_ema_sweep.png
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curl -L -o cv3_ema_sweep.png https://huggingface.co/seastar105/pocket-tts-korean-100m/resolve/main/assets/cv3_ema_sweep.png
48.1 kB
