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
File size: 134 Bytes
e90767c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:00648a0551d9a326355a38c2149fd5c35390e51d376f2b035f5be638e4e4e6b0
size 569969387
|