Instructions to use jempf/29ef1ff23d4645f6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jempf/29ef1ff23d4645f6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir 29ef1ff23d4645f6 jempf/29ef1ff23d4645f6
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 801 Bytes
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license: apache-2.0
language:
- de
library_name: mlx-audio
base_model: mlx-community/Qwen3-ASR-0.6B-5bit
tags:
- mlx
- mlx-audio
- speech-to-text
- asr
- stt
- medical
- lora
---
# anamedi Personalized ASR
Personalized German medical ASR model, fine-tuned via [anamedi](https://www.anamedi.com) on the doctor's own voice.
**Base model:** [mlx-community/Qwen3-ASR-0.6B-5bit](https://huggingface.co/mlx-community/Qwen3-ASR-0.6B-5bit)
**Language:** German (de)
**Domain:** Medical dictation
**Fine-tuning:** LoRA adapters merged into base weights
## Loading
```python
from mlx_audio.stt.utils import load_model
model = load_model("jempf/29ef1ff23d4645f6")
```
## License
Apache 2.0 — inherited from the base model [Qwen3-ASR](https://huggingface.co/mlx-community/Qwen3-ASR-0.6B-5bit).
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