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qvac
/
TranscribePsy-250M-EU

Automatic Speech Recognition
NeMo
Safetensors
asr
speech
multilingual
european-languages
on-device
edge
fastconformer
transducer
Model card Files Files and versions
xet
Community

Instructions to use qvac/TranscribePsy-250M-EU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use qvac/TranscribePsy-250M-EU with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("qvac/TranscribePsy-250M-EU")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
TranscribePsy-250M-EU / eval
16 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
liu-tianchi's picture
liu-tianchi
Initial release
100886f 5 days ago
  • README.md
    3.34 kB
    Initial release 5 days ago
  • adapter_wrapper.py
    2.54 kB
    Initial release 5 days ago
  • eval_mls8.py
    7.85 kB
    Initial release 5 days ago
  • run_leaderboard.py
    2.28 kB
    Initial release 5 days ago