Text-to-Speech
Transformers
Safetensors
Arabic
moss_tts_local
feature-extraction
voice-cloning
custom_code
sglang-omni
moss-tts
moss-tts-local
lora
saudi-arabic
Instructions to use Rabe3/Moss-Saudi-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rabe3/Moss-Saudi-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Rabe3/Moss-Saudi-2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rabe3/Moss-Saudi-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "MossTTSLocalProcessor", | |
| "audio_tokenizer_name_or_path": "OpenMOSS-Team/MOSS-Audio-Tokenizer-v2", | |
| "auto_map": { | |
| "AutoProcessor": "processing_moss_tts.MossTTSLocalProcessor" | |
| } | |
| } | |