---
library_name: transformers
language:
- ru
- en
pipeline_tag: text-generation
license: other
license_name: apache-2.0
license_link: https://huggingface.co/MTSAIR/Cotype-Nano/blob/main/Apache%20License%20MTS%20AI.docx
tags:
- mlx
base_model: MTSAIR/Cotype-Nano
---

# enikeev/Cotype-Nano-MLX

The Model [enikeev/Cotype-Nano-MLX](https://huggingface.co/enikeev/Cotype-Nano-MLX) was
converted to MLX format from [MTSAIR/Cotype-Nano](https://huggingface.co/MTSAIR/Cotype-Nano)
using mlx-lm version **0.20.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("enikeev/Cotype-Nano-MLX")

prompt="hello"

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

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