Text-to-Speech
Transformers
Safetensors
GGUF
English
gradium_phonon_tts
text-to-audio
tts
streaming
on-device
phonon
Instructions to use gradium/phonon-31m-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gradium/phonon-31m-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="gradium/phonon-31m-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("gradium/phonon-31m-en") model = AutoModelForTextToWaveform.from_pretrained("gradium/phonon-31m-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
-
add transformers 🤗 support (#1)
- add transformers 🤗 support (69d132d26aefb4956d97d07719701e50bb036dbc) - audio tokenizer: gradium/phonon-mimi (bbd6193529d4a4fbc1bb78e11009d22e223caba6) - library_name: transformers (6f1f8ee3b486ee7a3d208c25f045c6c97f31fc20) Co-authored-by: Eustache Le Bihan <eustlb@users.noreply.huggingface.co>5c8a65f