Text-to-Speech
Transformers
Safetensors
GGUF
English
gradium_phonon_tts
text-to-audio
tts
streaming
on-device
phonon
Instructions to use agentory/phonon-31m-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentory/phonon-31m-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="agentory/phonon-31m-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("agentory/phonon-31m-en") model = AutoModelForTextToWaveform.from_pretrained("agentory/phonon-31m-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from agentory/phonon-31m-en: direct link, hf CLI and curl.
- Browser
- Download file 65 kB
-
https://huggingface.co/agentory/phonon-31m-en/resolve/main/tokenizer.model
- Command line
-
hf download hf://agentory/phonon-31m-en/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/agentory/phonon-31m-en/resolve/main/tokenizer.model
65 kB
- Xet hash:
- 02e73be58e49bd4486ba78c1aca893c96872880471f1332c2590ff4ced4645f0
- Size of remote file:
- 65 kB
- SHA256:
- 82e4572006d64d483317074c22c368e87779640b6f3a9dcd07b7caae32b030ce
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