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
- Xet hash:
- 8f5ee902bec91caa168b779fd799e12dc6733e81ce63875d9c749c76783e81fd
- Size of remote file:
- 4.08 GB
- SHA256:
- fdc212548d8ee8537f6b36216b51e0b595e98066fa920c575614137d71d7e7b4
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