vnoroozi commited on
Commit
903f87e
1 Parent(s): e00282d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -2
README.md CHANGED
@@ -127,9 +127,10 @@ The list of the available models in this collection is shown in the following ta
127
 
128
  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.
129
  You will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
 
130
  ```
131
  pip install nemo_toolkit['all']
132
- '''
133
 
134
  ### Simulate Streaming ASR
135
 
@@ -147,7 +148,7 @@ wget https://dldata-public.s3.us-east-2.amazonaws.com/2086-149220-0033.wav
147
 
148
  Then simply do:
149
 
150
- ```
151
  import nemo.collections.asr as nemo_asr
152
  asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="nvidia/stt_en_fastconformer_hybrid_large_streaming_multi")
153
 
 
127
 
128
  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.
129
  You will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version.
130
+
131
  ```
132
  pip install nemo_toolkit['all']
133
+ ```
134
 
135
  ### Simulate Streaming ASR
136
 
 
148
 
149
  Then simply do:
150
 
151
+ ```python
152
  import nemo.collections.asr as nemo_asr
153
  asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="nvidia/stt_en_fastconformer_hybrid_large_streaming_multi")
154