shibing624/textgen
TextGen is a Python library implementing various text generation models including LLaMA, ChatGLM, GPT2, BART, and T5 for training and inference.
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This repository provides implementations of multiple text generation models including LLaMA, ChatGLM, BLOOM, GPT2, Seq2Seq, BART, T5, and SongNet. It offers both training and inference capabilities with multi-GPU support and techniques like NEFTune for fine-tuning. The library aims to be plug-and-play for developers working on text generation tasks.
Frequently asked
- What is shibing624/textgen?
- TextGen is a Python library implementing various text generation models including LLaMA, ChatGLM, GPT2, BART, and T5 for training and inference.
- Is textgen open source?
- Yes — shibing624/textgen is open source, released under the Apache-2.0 license.
- What language is textgen written in?
- shibing624/textgen is primarily written in Python.
- How popular is textgen?
- shibing624/textgen has 981 stars on GitHub.
- Where can I find textgen?
- shibing624/textgen is on GitHub at https://github.com/shibing624/textgen.