branch.
For instance:
```python
model = AutoModel.from_pretrained(
...     "julien-c/EsperBERTo-small", revision="v2.0.1"  # tag name, or branch name, or commit hash
... )
```
Push your model from Python
Preparation
The first step is to make sure your credentials to the hub are stored somewhere. This can be done in two ways. If you
have access to a terminal, you can just run the following command in the virtual environment where you installed 🤗
Transformers:
bash
huggingface-cli login
It will store your access token in the Hugging Face cache folder (by default ~/.cache/).
If you don't have an easy access to a terminal (for instance in a Colab session), you can find a token linked to your
account by going on huggingface.co, click on your avatar on the top left corner, then on
Edit profile on the left, just beneath your profile picture. In the submenu API Tokens, you will find your API
