How to avoid downloading from huggingface
**Describe the bug**
I've made fine-tuning custom Bert model from huggingface for TokenClassification, saved the best checkpoint as .nemo file as the result.
Then I want to load that checkpoint for model inference 
```
model = TokenClassificationModel.restore_from("/tmp/model/best_ckpt.nemo")
```
but at first nemo downloads the original model from HF 
```
[NeMo W 2023-07-14 03:24:30 lm_utils:80] ai-forever/ruBert-large is not in get_pretrained_lm_models_list(include_external=False), will be using AutoModel from HuggingFace.
Downloading: 100%|██████████| 1.71G/1.71G [01:12<00:00, 23.5MB/s] 
```
and only then restores it from the checkpoint. 
```
[NeMo I 2023-07-14 03:26:04 save_restore_connector:247] Model TokenClassificationModel was successfully restored from /tmp/model/best_ckpt.nemo
```
Is it necessary do download the original model from HF? I can't find the way to avoid it
