Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
Citrinet
Transformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use nvidia/stt_en_citrinet_256_ls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/stt_en_citrinet_256_ls with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/stt_en_citrinet_256_ls") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c249d3f
Update README.md
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README.md
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@@ -88,7 +88,7 @@ The model is available for use in the NeMo toolkit [3], and can be used as a pre
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```python
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import nemo.collections.asr as nemo_asr
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asr_model = nemo_asr.models.
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```
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### Transcribing using Python
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```python
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import nemo.collections.asr as nemo_asr
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asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained("nvidia/stt_en_citrinet_256_ls")
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```
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### Transcribing using Python
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