Instructions to use jempf/3cd5f9019fee4af8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jempf/3cd5f9019fee4af8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir 3cd5f9019fee4af8 jempf/3cd5f9019fee4af8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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/3cd5f9019fee4af8")
License
Apache 2.0 — inherited from the base model Qwen3-ASR.
- Downloads last month
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Model size
0.3B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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Model tree for jempf/3cd5f9019fee4af8
Base model
mlx-community/Qwen3-ASR-0.6B-5bit