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nvidia
/
stt_en_fastconformer_ctc_large

Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
FastConformer
Transformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
5

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

  • Libraries
  • NeMo

    How to use nvidia/stt_en_fastconformer_ctc_large with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/stt_en_fastconformer_ctc_large")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

GGUF + pure-C++ runtime in CrispASR — FastConformer-CTC (NeMo)

#5 opened 22 days ago by
cstr

Add Open ASR Leaderboard evaluation results

#4 opened about 2 months ago by
SaylorTwift

Can I train this model and get tokenizer with japanese datasets ?

#3 opened over 1 year ago by
Nguyen667201

KenLM Integration

2
#1 opened over 2 years ago by
puvvadasaikiran
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