yuanzhoulvpi2017/zero_nlp
A Chinese NLP training framework providing end-to-end solutions for large model fine-tuning and deployment using PyTorch and HuggingFace Transformers.
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This repository offers an open-source Chinese NLP framework covering the full ML lifecycle: data processing, model training, fine-tuning, and inference. It supports multiple foundation models including GPT-2, CLIP, LLaMA, LLaMA2, ChatGLM-6B, and VisionEncoderDecoderModel for multi-modal tasks. The framework implements multi-GPU distributed training and provides utilities for vocabulary modification, enabling users to train and deploy large models even on consumer-grade hardware.
Frequently asked
- What is yuanzhoulvpi2017/zero_nlp?
- A Chinese NLP training framework providing end-to-end solutions for large model fine-tuning and deployment using PyTorch and HuggingFace Transformers.
- Is zero_nlp open source?
- Yes — yuanzhoulvpi2017/zero_nlp is open source, released under the MIT license.
- What language is zero_nlp written in?
- yuanzhoulvpi2017/zero_nlp is primarily written in Jupyter Notebook.
- How popular is zero_nlp?
- yuanzhoulvpi2017/zero_nlp has 3.8k stars on GitHub.
- Where can I find zero_nlp?
- yuanzhoulvpi2017/zero_nlp is on GitHub at https://github.com/yuanzhoulvpi2017/zero_nlp.