Error encountered when trying to fine-tune STT Zh Quartznet15x5 on accented dataset.
**Describe the bug**

```bash
# When loading model
Model stt_zh_quartznet15x5 was not found. Check cls.list_available_models() for the list of all available models.
```

```bash
# When directly trying transcribing
Error executing job with overrides: ['pretrained_name=stt_zh_quartznet15x5', 'audio_dir=****']
Traceback (most recent call last):
  File "examples/asr/transcribe_speech.py", line 155, in main
    asr_model = ASRModel.from_pretrained(
  File "/****/NeMo/nemo/core/classes/common.py", line 846, in from_pretrained
    class_, nemo_model_file_in_cache = cls._get_ngc_pretrained_model_info(
  File "/****/NeMo/nemo/core/classes/common.py", line 898, in _get_ngc_pretrained_model_info
    raise FileNotFoundError(
FileNotFoundError: Model stt_zh_quartznet15x5 was not found. Check cls.list_available_models() for the list of all available models.
```

**Steps/Code to reproduce bug**

1. follow the steps to run the model in its [HP](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_zh_quartznet15x5)

**Expected behavior**

Should works fine?

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

 - Environment location: Baremetal
 - Method of NeMo install: pip from source (Pull from GitHub following the instructions)

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version Ubuntu 18 cuda 11.3 cudnn8.3.2_0
- PyTorch version 1.12.1
- Python version 3.8

**Additional context**

GPU model: 3090
