zyds/transformers-code
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
This project offers a comprehensive video course and accompanying code for machine learning practitioners looking to build and fine-tune large language models. It takes you from understanding basic components like tokenizers and models to implementing advanced techniques for tasks such as named entity recognition, machine reading comprehension, and generating dialogue. The course is ideal for AI/ML engineers and researchers who want to apply transformer models to real-world NLP challenges.
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Use this if you are an AI/ML engineer or researcher who wants to learn how to effectively use and optimize transformer models for various natural language processing tasks.
Not ideal if you are a non-technical user looking for a ready-to-use application, as this resource focuses on code implementation and model training.
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