Fine-tuning BERT model for Sentiment Analysis

Fine-tune the BERT model for sentiment analysis by adding custom neural layers while freezing pre-trained layers. This video covers loading datasets, tokenizing text, setting padding, and defining a classification architecture to classify sentences as positive or negative. 

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