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
File size: 386 Bytes
a65fa5d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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"
}
|