Educational Resource / Course Code Repository
3.9k 2026-04-18
zyds/transformers-code
A comprehensive code repository accompanying a hands-on course for mastering Huggingface Transformers, covering fundamental concepts to advanced fine-tuning and deployment techniques.
Core Features
Structured curriculum from basics to advanced topics (e.g., PEFT, distributed training).
Practical examples for various NLP tasks (e.g., NER, MRC, text similarity, dialogue).
Covers core Huggingface components like Pipeline, Tokenizer, Model, Datasets, Trainer.
Includes advanced techniques such as low-precision training (8bit/4bit) and distributed training.
Synchronized with video tutorials available on Bilibili and YouTube.
Detailed Introduction
This project serves as the official code repository for a practical course on Huggingface Transformers, designed to guide learners from foundational knowledge to advanced applications. It provides hands-on examples and detailed implementations for various NLP tasks, efficient model fine-tuning (PEFT), low-precision training, and distributed training. The repository is meticulously organized to align with the video lessons, offering a complete learning experience for anyone looking to master the Huggingface ecosystem for deep learning in NLP.