Text-to-Speech
MLX
Safetensors
English
dots_tts
tts
quantized
4-bit precision
8-bit precision
apple-silicon
dots.tts
Instructions to use smcleod/dots.tts-soar-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use smcleod/dots.tts-soar-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download smcleod/dots.tts-soar-mlx --local-dir dots.tts-soar-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mf/backbone/tokenizer_config.json from smcleod/dots.tts-soar-mlx: direct link, hf CLI and curl.
- Browser
- Download file 380 Bytes
-
https://huggingface.co/smcleod/dots.tts-soar-mlx/resolve/main/mf/backbone/tokenizer_config.json
- Command line
-
hf download hf://smcleod/dots.tts-soar-mlx/mf/backbone/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/smcleod/dots.tts-soar-mlx/resolve/main/mf/backbone/tokenizer_config.json
380 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_max_length": 131072, | |
| "pad_token": "<|endoftext|>", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |