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:
- 3726371f6e6fd5215fbea85e014f5a7464a954ae1cc9d40854223753c4f62499
- Size of remote file:
- 11.4 MB
- SHA256:
- bd2a97b55c8f7f9c328c73ee9b9178771037e9f566dfca8e238a063d41cbac92
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