on GitHub on your PR. For some very general questions that are not very useful for the public, feel free to ping the
Hugging Face team by Slack or email.
5. Adapt the generated models code for brand_new_bert
At first, we will focus only on the model itself and not care about the tokenizer. All the relevant code should be
found in the generated files src/transformers/models/brand_new_bert/modeling_brand_new_bert.py and
src/transformers/models/brand_new_bert/configuration_brand_new_bert.py.
Now you can finally start coding :). The generated code in
src/transformers/models/brand_new_bert/modeling_brand_new_bert.py will either have the same architecture as BERT if
it's an encoder-only model or BART if it's an encoder-decoder model. At this point, you should remind yourself what
you've learned in the beginning about the theoretical aspects of the model: How is the model different from BERT or
