Awesome new feature!
Can’t wait to test it; versioning is really great, especially for fine-tuned models (that can be improved over time).
I would love to see an example of how a “tagged” version can be used. E.g. how can a “v2” tag of a model be used in Transformers then - with something like:
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("julien-c/EsperBERTo-small@v2") # specify commit/tag

I really like the versioning concept. But how do you “sync” changes between the model_cards README.md and a specific tagged version of the model?
E.g. I normally would open a PR for a model card README.md in the Transformers library. Then later I would update the model to a version 2, “tag” the old model with a “v1” tag and update the model card in Transformers library for version 2. How can I switch back to the version 1 model card, that belongs to the tagged model for v1 UX-wise 
It would be awesome to have a kind of version switcher (for tags) in a more prominant way