Text-to-Speech
Transformers
PyTorch
Persian
moss_tts_nano
feature-extraction
persian
farsi
tts
voice-cloning
speech-synthesis
custom_code
Instructions to use nimaaaAI/MOSS-TTS-Nano-Persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nimaaaAI/MOSS-TTS-Nano-Persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nimaaaAI/MOSS-TTS-Nano-Persian", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nimaaaAI/MOSS-TTS-Nano-Persian", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05fc9717a81622b6de868db6d15b9193841ab60e37a560cf893c570896124c11
- Size of remote file:
- 471 kB
- SHA256:
- c353ee1479b536bf414c1b247f5542b6607fb8ae91320e5af1781fee200fddff
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