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:
- a6ffcaadcddc2fa1d811a7435d95f53bd516d016c21c26bc62f6786f693f38be
- Size of remote file:
- 1.81 MB
- SHA256:
- f5fecfcb5763893ae5ef5e52918b1323454e89aa64a9da880c3107f468118340
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