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
Download processor_config.json from ArminRahimi/Audio8-TTS-Persian: direct link, hf CLI and curl.
- Browser
- Download file 207 Bytes
-
https://huggingface.co/ArminRahimi/Audio8-TTS-Persian/resolve/main/processor_config.json
- Command line
-
hf download hf://ArminRahimi/Audio8-TTS-Persian/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/ArminRahimi/Audio8-TTS-Persian/resolve/main/processor_config.json
207 Bytes
| { | |
| "audio_sampling_rate": 44100, | |
| "auto_map": { | |
| "AutoProcessor": "processing_arktts.ArkttsProcessor" | |
| }, | |
| "num_codebooks": 10, | |
| "processor_class": "ArkttsProcessor", | |
| "semantic_begin_id": 151678 | |
| } | |