abhimishra91/transformers-tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks
This project provides practical guides for adapting powerful AI language models to solve specific business problems. It takes large, pre-trained language models and shows you how to fine-tune them with your own data to get highly accurate results for tasks like classifying text, recognizing entities, or summarizing documents. This is for AI practitioners, data scientists, or machine learning engineers who need to deploy custom natural language processing solutions.
859 stars. No commits in the last 6 months.
Use this if you need to apply advanced natural language processing techniques, like text classification or named entity recognition, to your specific datasets and achieve state-of-the-art performance.
Not ideal if you are looking for a plug-and-play solution that requires no coding or machine learning expertise.
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Jupyter Notebook
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MIT
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Last pushed
Apr 01, 2024
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