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:
- 71689184412d9260ede26da0bbb0eb8dd5fc0183f3137d9f09292124ee8f18fc
- Size of remote file:
- 459 kB
- SHA256:
- cdd4f0ba5a4c0499f5194f5767ffaa9e988ea912210e369f66e2812278ba45ff
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