Automatic Speech Recognition
Transformers
Safetensors
Danish
qwen3_asr
danish
qwen
asr
speech-to-text
coral
podcast
streaming
Eval Results (legacy)
Instructions to use pluttodk/milo-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pluttodk/milo-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pluttodk/milo-asr")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("pluttodk/milo-asr") model = AutoModelForMultimodalLM.from_pretrained("pluttodk/milo-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@misc{Milo-ASR,
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author = {Rønnelund, Mathias Oliver Valdbjørn},
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title = {Milo-ASR: Danish ASR Model based on Qwen3-ASR},
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year = {
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publisher = {HuggingFace},
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url = {https://huggingface.co/pluttodk/Milo-ASR}
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}
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@misc{Milo-ASR,
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author = {Rønnelund, Mathias Oliver Valdbjørn},
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title = {Milo-ASR: Danish ASR Model based on Qwen3-ASR},
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year = {2026},
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publisher = {HuggingFace},
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url = {https://huggingface.co/pluttodk/Milo-ASR}
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}
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