Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
FastConformer
Transformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
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
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