Model QuartzNet15x5Base-Zh was not found
**Describe the bug**

Hi, 

I am new to NeMo. After I have installed the NeMo in my dGPU laptop, I have written a simple test to test the ASR.

1. first I have test the .wav file in English ("Where is the bus station?")

quartznet = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="QuartzNet15x5Base-En").cuda()
print("\nGot the TEXT")
english_text = quartznet.transcribe([Audio_sample])
print("\n")
print(english_text)    --- it prints the "where is the bus station" ----Good thing

2. Then: I have test the .wav file in Chinese in same word where is the bus station in Chinese
 
quartznet = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="QuartzNet15x5Base-Zh").cuda()

But I have got: FileNotFoundError: Model QuartzNet15x5Base-Zh was not found.

Per NeMo user guide, QuartzNet15x5Base-Zh is supported model.

Can you let me know how to solve the problem?

Thanks
Jimmy




**Steps/Code to reproduce bug**

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**Expected behavior**

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**Environment overview (please complete the following information)**

 - Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
 - Method of NeMo install: [pip install or from source]. Please specify exact commands you used to install.
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**Environment details**

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- OS version:       Ubuntu 18.04
- PyTorch version  1.9.0+cu102
- Python version:   3.6

**Additional context**

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