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Showing posts from December 9, 2022

How to Fine-Tune a Large Language Model (Transformer) Using Hugging Face and Pytorch

 As machine learning engineers, we know that fine-tuning a transformer imported from Hugging Face can be an intimidating task. But with the right tools and strategies, you can quickly get your model up and running in no time! In this blog post, we’ll go over some of the best practices for fine-tuning a Transformer from Hugging Face.  The first step is to select a pre-trained model that’s suitable for your use case. You can find several models on their original websites or GitHub pages – make sure to choose one based on language type (English vs French) as well as domain-specific tasks such as sentiment analysis or natural language understanding (NLU). Once you have selected your model, it's time to start training!  What is A Large Language Model (Transformer)! A transformer is a type of large language model (LLM) that uses deep learning algorithms to process natural language. This type of AI has become increasingly popular in recent years due to its ability to generate meaningful a

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