Text-to-Speech
Transformers
Safetensors
Persian
arktts
feature-extraction
tts
persian
farsi
voice-cloning
audio8
custom_code
Instructions to use ArminRahimi/Audio8-TTS-Persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArminRahimi/Audio8-TTS-Persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ArminRahimi/Audio8-TTS-Persian", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArminRahimi/Audio8-TTS-Persian", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 207 Bytes
8c09c18 | 1 2 3 4 5 6 7 8 9 10 | {
"audio_sampling_rate": 44100,
"auto_map": {
"AutoProcessor": "processing_arktts.ArkttsProcessor"
},
"num_codebooks": 10,
"processor_class": "ArkttsProcessor",
"semantic_begin_id": 151678
}
|