AliHaiderAhmad001/BERT-from-Scratch-with-PyTorch
Implementation of BERT-based Language Models
This project helps machine learning engineers and researchers understand how BERT-based language models are built from the ground up. It provides step-by-step code and explanations to demystify this complex architecture. Users can input text data and observe the pre-training process to gain a precise understanding of BERT's inner workings.
Use this if you are an NLP researcher or machine learning engineer who wants to learn the fundamental concepts and implementation details of BERT by building it yourself.
Not ideal if you need to train a production-ready language model on large datasets or fine-tune an existing model for a specific task without needing to understand the underlying architecture.
Stars
27
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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