Can you kindly provide any evaluation file for megatron_bert just like the one for GPT - `megatron_gpt_eval.py`?
**Problem Description -> Trying to load the GatorTron model checkpoint into a pretrained MegatronBERT model**

Hi. I have the `.nemo` file for the Gatortron model which I downloaded from [here](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/gatortron_og/files) and I was looking to load this into a pretrained MegatronBert model, to perform some kind of language modeling just akin to the evaluation done in `megatron_gpt_eval.py` file. 
More specifically, I want to be able to input clinical text to the Gatortron weights loaded into a pretrained BERT and get relevant output, without having to perform any kind of finetuning, since I currently do not have any dataset to fine-tune upon.

**Describe the solution you'd like**

Could you kindly provide an example evaluation file - `megatron_bert_eval.py`, including all the dependent modules, just like the one for GPT? 

**Describe alternatives you've considered**
I am using the `nvcr.io/nvidia/nemo:22.09` docker image and the NeMo `v1.10.0` and I was trying to build my own evaluation file for MegatronBERT, taking reference from the file for GPT, but was running into a lot of errors. Hence I thought of asking over here whether it would be possible if anyone could kindly give some reference along this way.


**Additional context**

None
