Restoring from pretrained checkpoint is broke for "stt_ua_fastconformer_hybrid_large_pc"
I figured how to load the parameters, though with the hack.

1. I obtained model's config by doing this:
```
ckpt_name = "stt_ua_fastconformer_hybrid_large_pc"
cfg = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name=ckpt_name, return_config=True)
omegaconf.OmegaConf.save(cfg, f="cfg.yaml")
```

2. then I commented out the `conv_pointwise_type` attribute of encoder's parameters.

3. loaded model by providing a patched config:
```
model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(
    model_name=ckpt_path,
    override_config_path="./cfg_modified.yaml",
```

The above hack works, though I wonder if the loaded model works correctly? Also it will be good to update the official checkpoints in the NGC registry.

Same issue happens to `stt_ru_fastconformer_hybrid_large_pc` russian checkpoint.
 Thank you for reporting the issue and the fix ! We'll take a look soon. I think we updated the huggingface version but not NGC  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. Still relevant for https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_ru_fastconformer_hybrid_large_pc
docker: nvcr.io/nvidia/nemo:24.01.speech

And this model has a different tokenizer from the one in ngc.
https://huggingface.co/nvidia/stt_ru_fastconformer_hybrid_large_pc/tree/main 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.
Hi folks! I'm trying to restore `EncDecHybridRNNTCTCModel` from checkpoint trained on Ukrainian

```
In [4]: from nemo.collections.asr.models import EncDecHybridRNNTCTCBPEModel
In [5]: model = EncDecHybridRNNTCTCBPEModel.from_pretrained("stt_ua_fastconformer_hybrid_large_pc")
```

model can't be restored because of keyword argument `conv_pointwise_type`

```
InstantiationException: Error in call to target 'nemo.collections.asr.modules.conformer_encoder.ConformerEncoder':
TypeError("ConformerEncoder.__init__() got an unexpected keyword argument 'conv_pointwise_type'")
```

Search through NeMo repository I only found `conv_pointwise_type` keyword  in one [PR](https://github.com/NVIDIA/NeMo/pull/6476), and nowhere in the code base, that looks suspicious. Is there any recommendation how one would make that checkpoint compatible?


Env:
- Nemo version: nemo_toolkit==1.23.0
- OS: Ubuntu 22.04