You can go to the model page on Hugging Face, click on "Files and versions," and check the config.py file. In the architectures field, you will find that the model "nreimers/MiniLM-L6-H384-uncased" is based on the "BertModel".

For example, you can refer to the config.json here: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/blob/main/config.json#L4

To view the class definition and understand its full implementation, you can visit Hugging Face’s GitHub repository at the following link: https://github.com/huggingface/transformers/blob/v4.52.3/src/transformers/models/bert/modeling_bert.py

Additionally, for more detailed information about the BERT model, you can check the official Hugging Face documentation here: https://huggingface.co/docs/transformers/model_doc/bert

This documentation will give you a better understanding of the model's structure, parameters, and usage.