zyds/transformers-code resource

Health v2 · maintenance only

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Adoption not part of the score

4053 stars · 520 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A hands-on course repository with Jupyter Notebook code accompanying a video series (on Bilibili and YouTube) for learning Hugging Face Transformers. It covers fundamentals, NLP task implementations, parameter-efficient fine-tuning with PEFT, low-precision training with bitsandbytes, and distributed training with accelerate.

Use cases

• learn huggingface transformers from scratch
• fine-tune LLMs with LoRA and QLoRA
• practice NLP tasks like NER and text classification with transformers
• learn distributed training with accelerate and deepspeed
• train models in 8-bit or 4-bit precision
• follow a structured transformers tutorial with code

When to choose

• you want a guided, video-backed course on the Hugging Face ecosystem
• you need practical notebooks covering PEFT methods like LoRA, P-tuning, and IA3
• you prefer Chinese-language instruction for transformers fine-tuning

When to avoid

• you need production-ready library code rather than educational notebooks
• you require an officially licensed or maintained software package
• you only want English-language materials

Facets

learning-resource · maturity active

machine-learning llm-training prompt-engineering large-language-models tutorials deep-learning python huggingface-transformers peft lora qlora fine-tuning jupyter-notebooks chinese-language video-course natural-language-processing gpu

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