Build a Powerful NER Model with Hugging Face Transformers | Fine-Tuning DistilBERT For NER Dataset
#machinelearning #datascience #python #llm #python
In this tutorial, we walk through the process of building a powerful Named Entity Recognition (NER) model using Hugging Face Transformers. We fine-tune the pre-trained DistilBERT model for NER tasks, and show you how to prepare data, train the model, and make predictions on text. Whether you're new to NER or looking to enhance your existing models, this guide will help you create a high-performing solution for detecting entities like persons, organizations, locations, and more!
Code: https://github.com/611noorsaeed/Build...
Timestamps:
00:00:00 - Introduction to the project and app
00:02:41 - Working With UI Design
00:07:12 - Working With NER Detection Function
00:31:21 - Working with display final results
00:37:31 - Fine Tuning Model, Preprocessing, Saving etc
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