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README.md
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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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### Simulate Streaming ASR
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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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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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