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  In order to prepare, adjust, or experiment with the model, it's necessary to install [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo) [1].
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  We advise installing it once you've installed the most recent version of PyTorch.
 
 
 
 
 
 
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  ```
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  pip install nemo_toolkit['all']
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  ```
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  ## Limitations
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- Because the GPU (NVIDIA GeForce RTX 2070) has limited power, we used a lightweight model architecture for fine-tuning.
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  In general, this makes it faster for inference but might show less overall performance.
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  In addition, if the speech includes technical terms or dialect words the model hasn't learned, it may not work as well.
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  In order to prepare, adjust, or experiment with the model, it's necessary to install [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo) [1].
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  We advise installing it once you've installed the most recent version of PyTorch.
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+ This model trained on NVIDIA GeForce RTX 2070:
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+ Python 3.7.15
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+ NumPy 1.21.6
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+ PyTorch 1.21.1
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+ NVIDIA NeMo 1.7.0
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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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  ## Limitations
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+ Because the GPU has limited power, we used a lightweight model architecture for fine-tuning.
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  In general, this makes it faster for inference but might show less overall performance.
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  In addition, if the speech includes technical terms or dialect words the model hasn't learned, it may not work as well.
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