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bert nlp python example

Instantly Download or Run this code online at https://codegive.com Tutorial: BERT NLP in Python In this tutorial, we'll delve into using BERT (Bidirectional Encoder Representations from Transformers) for Natural Language Processing (NLP) tasks in Python. BERT has proven to be a powerful model for a variety of NLP tasks, including text classification, named entity recognition, and question answering, among others. We'll focus on text classification as an example. Before we get started, ensure you have the necessary libraries installed. We'll be using the transformers library from Hugging Face, which provides easy access to pre-trained BERT models. You can install it via pip: In this example, we'll perform text classification using a pre-trained BERT model. We'll use the transformers library to load the pre-trained BERT model and fine-tune it on a dataset for sentiment analysis.