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nvidia
/
stt_en_fastconformer_ctc_xlarge

Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
FastConformer
Transformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • NeMo

    How to use nvidia/stt_en_fastconformer_ctc_xlarge with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/stt_en_fastconformer_ctc_xlarge")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
stt_en_fastconformer_ctc_xlarge
2.44 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
SKostandian's picture
SKostandian
Update README.md
e86de2c verified about 1 year ago
  • .gitattributes
    1.55 kB
    Upload stt_en_fastconformer_ctc_xlarge.nemo almost 3 years ago
  • README.md
    9.35 kB
    Update README.md about 1 year ago
  • stt_en_fastconformer_ctc_xlarge.nemo
    2.44 GB
    xet
    Upload stt_en_fastconformer_ctc_xlarge.nemo almost 3 years ago