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
metadata
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 on the doctor's own voice.
Base model: mlx-community/Qwen3-ASR-0.6B-5bit
Language: German (de)
Domain: Medical dictation
Fine-tuning: LoRA adapters merged into base weights
Loading
from mlx_audio.stt.utils import load_model
model = load_model("jempf/29ef1ff23d4645f6")
License
Apache 2.0 — inherited from the base model Qwen3-ASR.