FileNotFoundError: Model stt_zh_citrinet_1024_gamma_0_25 was not found. Check cls.list_available_models() for the list of all available models.
I try restory form local print error info :
ValueError: `cfg` must have `tokenizer` config to create a tokenizer !
 @weiqingw4ng will submit a PR to fix this. Thank you Weiqing  This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days. This issue was closed because it has been inactive for 7 days since being marked as stale. @weiqingw4ng is working on this, he is working to improve the code for other non-english languages as well.  This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days. This issue was closed because it has been inactive for 7 days since being marked as stale.
**Describe the bug**

I try offline_diar_with_asr_infer wish zh asr model 
!python ./clustering_diarizer/offline_diar_with_asr_infer.py \
    diarizer.manifest_filepath="/home/zhibo/Eval_Ali/Eval_Ali_far/audio_dir/temp_manifest_input.json"  \
    diarizer.out_dir='demo_asr_output' \
    diarizer.speaker_embeddings.parameters.save_embeddings=False \
    diarizer.asr.parameters.asr_based_vad=True \
    diarizer.asr.model_path="stt_zh_citrinet_1024_gamma_0_25" 


**Steps/Code to reproduce bug**

Please list *minimal* steps or code snippet for us to be able to reproduce the bug.

A  helpful guide on on how to craft a minimal bug report  http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports. 


**Expected behavior**

A clear and concise description of what you expected to happen.

**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.
 - If method of install is [Docker], provide `docker pull` & `docker run` commands used

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version
- PyTorch version
- Python version

**Additional context**

Add any other context about the problem here.
Example: GPU model
