__version__ attribute missing in mode config for sentence-transformers/paraphrase-mpnet-base-v2
I've manually downloaded a model `paraphrase-mpnet-base-v2`, and it appears that the `SentenceTransformer.py` code above is requesting a field` __version__ `in the model config that doesn't appear to be there.

I have read the same topic : https://github.com/UKPLab/sentence-transformers/issues/184 but it doesn't solve the issue.

In the link below:

https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2

**Code given in the link:**

```
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('sentence-transformers/paraphrase-mpnet-base-v2')
embeddings = model.encode(sentences)
print(embeddings)

```

**I guess the above code will not work as mentioned in the link. Please correct this if it's an ongoing issue.**

For Sentence Transformer, I guess we need following files:

```
The folder should consist these files:
0_Transformer/
1_Pooling/
config.json
modules.json
```

But when we download the model `paraphrase-mpnet-base-v2 ` and unzip it. It doesn't have `0_Transformer` in it?

Any Suggestions?


Maybe of interest to @nreimers <|||||>Hi @pratikchhapolika 
The above code works well with the most recent sentence-transformers version v1 (v1.2.1) or (better) v2 (>= 2.0.0). 

With old sentence-transformers versions 1 the model does not work, as the folder structure has changed to make it compatible with the hub.

A folder 0_Transformer is not required and was removed in v2, so that models can be also loaded with HF transformers from the hub.

Just update to v1.2.1 or v2.0.0 and everything works.<|||||>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.