Is it possible to fine tune a Bert model using a small dataset (400 data))

Hello, I’m really new to NLP and sentiment analysis. I found the Hugging face models, which I find very useful for transfer learning.

I have a specific dataset consisting of 400 records in the Spanish language. I need to fine-tune a Bert model in order to be able to predict the sentiment (positive, neutral, negative) of a specific task (medical application). Is it possible? And if so, what are the steps? Is there any example in Python? Thank’s in advance.

help !! can anyone help on this topic? I have this same demand