Automatic Speech Recognition
Transformers
Safetensors
Danish
qwen3_asr
text-generation
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 AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("pluttodk/milo-asr", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 8ed6aa9a483d3fca4e882ee279f45cefdf1b60d4c4dbc243f95733d655a3db3c
- Size of remote file:
- 142 kB
- SHA256:
- 2d0f65f985e1b5ef016ee338d2dca546c3cf9daff3d9984914d4fb4cb265bba9
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