Instructions to use walydevelopers/musavcpmultlingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pocket-TTS
How to use walydevelopers/musavcpmultlingual with Pocket-TTS:
from pocket_tts import TTSModel import scipy.io.wavfile tts_model = TTSModel.load_model("walydevelopers/musavcpmultlingual") 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
Ctrl+K
Refresh mirror from kyutai/pocket-tts (pocket-tts 4.x weights, tokenizer.json, new languages) (part 4)
bf9b1b3 verified - dutch
- dutch_24l
- english
- english_18m_2026-10
- english_18m_refl_2026-10
- english_2026-01
- english_2026-04
- english_2026-04_24l
- english_2026-09
- english_2026-09_2
- english_2026-09_24l
- english_2026-10
- english_2m_2026-10
- english_2m_refl_2026-10
- english_7m_2026-10
- english_7m_refl_2026-10
- english_drifting_26-09
- french
- french_24l
- german
- german_24l
- italian
- italian_24l
- portuguese
- portuguese_24l
- spanish
- spanish_24l