---
license: apache-2.0
language:
- en
- de
- ar
- zh
- es
- ko
pipeline_tag: text-to-speech
library_name: mlx
base_model: nineninesix/kani-tts-370m
tags:
- mlx
---

# nineninesix/kani-tts-370m-MLX

This model [nineninesix/kani-tts-370m-MLX](https://huggingface.co/nineninesix/kani-tts-370m-MLX) was
converted to MLX format from [nineninesix/kani-tts-370m](https://huggingface.co/nineninesix/kani-tts-370m)
using mlx-lm version **0.28.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("nineninesix/kani-tts-370m-MLX")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```