Geert / README.md
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---
base_model: unsloth/gemma-2-2b-it
language:
- en
library_name: transformers
license: gemma
tags:
- unsloth
- transformers
- gemma2
- gemma
- mlx
---
# TeunS/Geert
The Model [TeunS/Geert](https://huggingface.co/TeunS/Geert) was converted to MLX format from [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it) using mlx-lm version **0.19.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("TeunS/Geert")
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)
```