Automatic Speech Recognition
NeMo
PyTorch
English
speech
streaming
audio
Transducer
Conformer
CTC
NeMo
Eval Results
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@@ -127,9 +127,10 @@ The list of the available models in this collection is shown in the following ta
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  The model is available for use in the NeMo toolkit [3], and can be used as a pre-trained checkpoint for streaming or for fine-tuning on another dataset.
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  You will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
 
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  ```
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  pip install nemo_toolkit['all']
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- '''
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  ### Simulate Streaming ASR
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@@ -147,7 +148,7 @@ wget https://dldata-public.s3.us-east-2.amazonaws.com/2086-149220-0033.wav
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  Then simply do:
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- ```
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  import nemo.collections.asr as nemo_asr
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  asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="nvidia/stt_en_fastconformer_hybrid_large_streaming_multi")
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  The model is available for use in the NeMo toolkit [3], and can be used as a pre-trained checkpoint for streaming or for fine-tuning on another dataset.
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  You will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
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+
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  ```
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  pip install nemo_toolkit['all']
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+ ```
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  ### Simulate Streaming ASR
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  Then simply do:
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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.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="nvidia/stt_en_fastconformer_hybrid_large_streaming_multi")
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