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pluttodk
/
milo-asr

Automatic Speech Recognition
Transformers
Safetensors
Danish
qwen3_asr
text-generation
danish
qwen
asr
speech-to-text
coral
podcast
streaming
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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
milo-asr / plots
1.07 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
pluttodk's picture
pluttodk
Upload plots/wer_comparison_podcast.png with huggingface_hub
a0489e8 verified 2 months ago
  • accuracy_vs_speed.png
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    xet
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  • cer_comparison.png
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  • dual_domain_wer.png
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  • rtf_comparison.png
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  • wer_comparison.png
    142 kB
    xet
    Upload plots/wer_comparison.png with huggingface_hub 2 months ago
  • wer_comparison_podcast.png
    153 kB
    xet
    Upload plots/wer_comparison_podcast.png with huggingface_hub 2 months ago