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:
- 08deb292ac00b14f2bfdb04b78bdbca78aefefbe6970477de4fdf666de3a9463
- Size of remote file:
- 570 MB
- SHA256:
- 00648a0551d9a326355a38c2149fd5c35390e51d376f2b035f5be638e4e4e6b0
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