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
File size: 747 Bytes
fdb06fd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"audio_tokenizer": {
"audio_tokenizer_class": "PocketTTSAudioTokenizerModel",
"audio_tokenizer_name_or_path": "gradium/phonon-mimi"
},
"fade_in_duration": 0.0,
"feature_extractor": {
"analysis_frame_duration": 0.02,
"end_on_pause": true,
"fade_out_duration": 0.02,
"feature_extractor_type": "PocketTTSFeatureExtractor",
"feature_size": 1,
"frame_size": 1920,
"pad_to_multiple_of": 1920,
"padding_side": "right",
"padding_value": 0.0,
"pause_duration": 0.08,
"return_attention_mask": true,
"sampling_rate": 24000,
"silence_floor_db": 35.0
},
"frames_after_eos": 1,
"frames_after_eos_short_text": 3,
"processor_class": "PocketTTSProcessor",
"short_text_max_words": 4
}
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