yuanzhoulvpi2017/zero_nlp resource

Health v2 · maintenance only

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3834 stars · 443 forks observed · 2026-08-28

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

A Chinese-language NLP training framework and tutorial collection built on PyTorch and Hugging Face Transformers, covering fine-tuning of large language models (GPT-2, LLaMA, ChatGLM, Dolly), text classification, CLIP, and multimodal models. Each module provides end-to-end steps including data cleaning, processing, training, deployment, and illustrated explanations.

Use cases

• fine-tune chatglm-6b with lora on my own data
• train a chinese gpt2 text generation model
• learn how to fine-tune llama2 in chinese
• build a chinese text classifier with bert
• train chinese clip for image-text matching
• learn llm fine-tuning step by step with transformers
• shard a large model across multiple consumer gpus for training and inference
• extend or prune a llm vocabulary

When to choose

• you want hands-on, notebook-driven tutorials for Chinese NLP and LLM fine-tuning
• you need complete pipelines from data preparation to deployment for models like ChatGLM, LLaMA, or GPT-2
• you want to learn how transformers-based training works with illustrated explanations
• you need to train or deploy models larger than a single GPU's memory

When to avoid

• you need a production-grade, maintained training framework with official support
• your work is not Chinese-language focused
• you want a one-command fine-tuning tool rather than educational notebooks
• you need the latest model support on day one

Facets

learning-resource · maturity active

llm-training nlp machine-learning rag data-science large-language-models machine-learning tutorials python cross-platform chinese-nlp fine-tuning huggingface-transformers chatglm llama gpt2 clip multimodal jupyter-notebooks lora natural-language-processing gpu

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markdown · JSON · MCP: product_card(name="yuanzhoulvpi2017/zero_nlp")