Instructions to use kaanhgunay/pocket-tts-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pocket-TTS
How to use kaanhgunay/pocket-tts-tr with Pocket-TTS:
from pocket_tts import TTSModel import scipy.io.wavfile tts_model = TTSModel.load_model("kaanhgunay/pocket-tts-tr") 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
| 575d7a90e41de407340e8048e6c1b3d6573c36ab9054e1233d3cb0d6777eaf5f model.safetensors | |
| c9ff291390865a78112e23b8ded6842300c6a88a58b0ef9694d6e8282f4ea490 tokenizer.model | |
| 350c8145552415cfe092c3fa8f3181715b7e3c666ee7bab46b8480b36668a553 config.yaml | |