The objective of this project is to develop a Named Entity Recognition (NER) system using BERT, a state-of-the-art pre-trained transformer model, and the Hugging Face Transformers library. The NER system will be able to extract and classify entities (such as names of people, organizations, locations, dates, etc.) from unstructured text data.
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The goal of this project is to develop a Named Entity Recognition (NER) system that can identify and classify named entities (such as names of people, organizations, locations, dates, etc.) in a given text using the BERT model from Hugging Face's Transformers library.
vaibhavdangar09/NER-WITH-BERT
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The goal of this project is to develop a Named Entity Recognition (NER) system that can identify and classify named entities (such as names of people, organizations, locations, dates, etc.) in a given text using the BERT model from Hugging Face's Transformers library.
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