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:
- f56aabce478c8fecef56b6d11f4376d1e3dcefaee3d55aa991c3db5390e02cb4
- Size of remote file:
- 157 kB
- SHA256:
- 2f1f73c0682a18acb03d714955ff391f1db0b9783ffea00c475c711d6a782c9c
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