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linagora
/
linto_stt_fr_fastconformer

Automatic Speech Recognition
NeMo
PyTorch
French
speech
audio
Transducer
FastConformer
CTC
Transformer
NeMo
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use linagora/linto_stt_fr_fastconformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use linagora/linto_stt_fr_fastconformer with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("linagora/linto_stt_fr_fastconformer")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
linto_stt_fr_fastconformer
460 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
Jeronymous's picture
Jeronymous
Update README.md
1d599e1 verified about 2 months ago
  • assets
    Upload wer_table.png 12 months ago
  • .gitattributes
    1.64 kB
    initial commit about 1 year ago
  • README.md
    9.95 kB
    Update README.md about 2 months ago
  • linto_stt_fr_fastconformer.nemo
    459 MB
    xet
    initial commit about 1 year ago