Text-to-Speech
MLX
Safetensors
llama
speech-synthesis
multilingual
indic
orpheus
snac
mlx-audio
4-bit precision
Instructions to use mlx-community/svara-tts-v1-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/svara-tts-v1-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir svara-tts-v1-4bit mlx-community/svara-tts-v1-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|eot_id|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "pad_token": "<custom_token_7>", | |
| "padding_side": "right", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |