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README.md
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@@ -11,9 +11,9 @@ datasets:
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- National-Singapore-Corpus-Part-1
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- National-Singapore-Corpus-Part-6
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- vctk
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- mozilla-foundation/common_voice_8_0
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- MLCommons/peoples_speech
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@@ -165,7 +165,7 @@ 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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- National-Singapore-Corpus-Part-1
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- National-Singapore-Corpus-Part-6
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- vctk
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- voxpopuli
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- europarl
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- multilingual_librispeech
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- mozilla-foundation/common_voice_8_0
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- MLCommons/peoples_speech
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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(model_name="nvidia/stt_en_fastconformer_ctc_large")
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```
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### Transcribing using Python
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