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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rabe3/Moss-Saudi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Rabe3/Moss-Saudi", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rabe3/Moss-Saudi", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|audio_start|>", | |
| "<|audio_end|>", | |
| "<|audio_pad|>" | |
| ], | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |