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Ever wondered how AI can instantly spot names, dates, or clauses in ANY document – not just legal ones? What if you could fine-tune BERT to do it in under 30 minutes? 🤔 🚀 In this step-by-step tutorial, we take you from raw text to a fully fine-tuned BERT model for token classification (NER) using a real-world legal dataset – but the workflow works for ANY domain: medical records, customer support, e-commerce, finance, and more! We cover data preprocessing, tokenization, model setup, training, and inference using Hugging Face Transformers. No PhD required – just Python and curiosity! 🎯 Use Cases: Extract entities from contracts, invoices, or research papers Build custom NER for product names, symptoms, or sentiment triggers Automate data labeling in CRM, healthcare, or compliance systems Power search, chatbots, and document intelligence pipelines 🧑💻️ Resources: Colab Notebook: https://colab.research.google.com/dri... Huggingface space demo: https://huggingface.co/spaces/hf-tune... 💡What is BERT? BERT (Bidirectional Encoder Representations from Transformers) is a deep learning model for natural language processing (NLP) developed by Google in 2018. Unlike traditional models that process text sequentially (left-to-right or right-to-left), BERT is bidirectional, meaning it considers the context of words from both directions simultaneously. 📗 Chapters: 00:00 Introduction 00:23 NER dataset 04:49 Fine tuning setup 06:52 Collator function 08:51 Training the model 11:38 Inference with the trained model 😍 Like, comment, and share this video! Got questions about AI/ML or Hugging Face? Drop them below and join our community of AI enthusiasts! Let’s build awesome projects together 🚀 🔍 Queries fine tune bert for ner bert token classification tutorial custom ner with hugging face named entity recognition python bert for legal text analysis train bert on custom dataset ner preprocessing pipeline token classification transformers How to continue pre-training BERT How to fine-tune BERT model How to customize the BERT model BERT for natural language processing Fine-tuning BERT for text classification BERT step by step BERT model training for beginners BERT for sentiment analysis tutorial How to train BERT on a custom dataset BERT with Transformers How to set up BERT fine tuning BERT training for named entity recognition #⃣️ Tags: #tokenClassification #NamedEntityRecognition #partsofspeech #bert #finetuning #nlp #huggingfacetutorial #huggingface #datascience #transferlearning #neuralnetworks #textanalysis #languagemodeling #textprocessing #pythontutorial #googlecolab #deeplearningtutorial #machinelearning #finetuningbert #ner #sentimentanalysis #textclassification #naturallanguageprocessing