jsksxs360/How-to-use-Transformers resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1891 stars · 227 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Chinese-language tutorial and code repository for quickly learning the Hugging Face Transformers library, covering NLP fundamentals through fine-tuning and large language models. It accompanies the transformers.run book with runnable example code for tasks like classification, NER, translation, summarization, and QA.

Use cases

• learn how to use the huggingface transformers library
• fine-tune bert for text classification
• build a named entity recognition model with transformers
• translate text with seq2seq models
• do extractive question answering with transformers
• learn prompt-based sentiment analysis
• get started with large language models and instruction tuning

When to choose

• you are an NLP beginner wanting a structured Transformers tutorial
• you prefer learning from runnable task-specific example code
• you want Chinese-language explanations of Transformers and LLMs

When to avoid

• you need production-ready NLP pipelines rather than educational examples
• you need multilingual or multimodal coverage
• you already know Transformers and only need API reference

Facets

learning-resource · maturity active

nlp machine-learning deep-learning transformers machine-learning tutorials large-language-models python huggingface-transformers tutorial pytorch bert fine-tuning chinese example-code natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jsksxs360/How-to-use-Transformers")