Instructions to use itzune/pocket-tts-basque with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pocket-TTS
How to use itzune/pocket-tts-basque with Pocket-TTS:
from pocket_tts import TTSModel import scipy.io.wavfile tts_model = TTSModel.load_model("itzune/pocket-tts-basque") 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
Commit History
Yesterday
-
model card: link the GitHub repository and demo page
Verified signature44fc31e -
model card: generic CPU wording
Verified signatured31fbd6 -
Pocket TTS Basque 6-layer model (distilled, step 150k EMA): weights, tokenizer, config, 5 voice states, model card
Verified signature4f1007b -
initial commit
Verified signature9b9df08