---
base_model: cmcmaster/transcript-to-note
library_name: transformers
model_name: transcript-to-note
tags:
- generated_from_trainer
- grpo
- trl
- hf_jobs
- mlx
- mlx-my-repo
licence: license
---

# jc2375/transcript-to-note-mlx-6Bit

The Model [jc2375/transcript-to-note-mlx-6Bit](https://huggingface.co/jc2375/transcript-to-note-mlx-6Bit) was converted to MLX format from [cmcmaster/transcript-to-note](https://huggingface.co/cmcmaster/transcript-to-note) using mlx-lm version **0.31.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("jc2375/transcript-to-note-mlx-6Bit")

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)
```