Converting fairseq roberta to transformer throws ModuleAttributeError: 'RobertaHubInterface' object has no attribute 'args'
https://github.com/huggingface/transformers/blob/c523b241c2e50c3ed035bb76b938b6a944fed7e5/src/transformers/models/roberta/convert_roberta_original_pytorch_checkpoint_to_pytorch.py#L59

Had this error `ModuleAttributeError: 'RobertaHubInterface' object has no attribute 'args'` when running
```
convert_roberta_original_pytorch_checkpoint_to_pytorch.convert_roberta_checkpoint_to_pytorch(roberta_checkpoint_path='/home/ubuntu/fairseq/checkpoints/',
                                                                                                 pytorch_dump_folder_path='./huggingface/',
                                                                                                 classification_head=False)
```

`roberta.args.encoder_embed_dim` should now be converted to `roberta.model.encoder.args.encoder_embed_dim` to bypass this issue with the current fairseq version
line 81&82 `roberta_sent_encoder.emb_layer_norm` should be changed to `roberta_sent_encoder.layernorm_embedding` <|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.<|||||>I met the same error just now, thanks for your solution, and I was wondering why attention was not paid to this bug?<|||||>I just met too. Thanks for sharing the bugs here!!