Transformers CFG
Grammar-constrained text generation with Transformers models
Transformers_cfg is an extension library for the Hugging Face Transformers library that enables grammar-constrained text generation. It provides tools and functionalities to work with context-free grammars (CFGs) for natural language processing tasks involving CFGs. The library supports various Transformer models, including LLaMa, GPT, Bloom, Mistral, and Falcon, and offers features like multilingual grammar support and integration with Text-Generation-WebUI.
Machine LearningNatural Language
- Technical
- Source code: Lab Github
- Last commit: 2025-04-10
Our research aims to make sense of large amounts of data. Frequently, the data we analyze is collected on the Web, e.g., using server logs, social media, wikis, online news, online games, etc. We distill heaps of raw data into meaningful insights by developing and applying algorithms and techniques in areas including social and information network analysis, machine learning, computational social science, data mining, natural language processing, and human computation.
This page was last edited on 2024-04-16.
This page was last edited on 2024-04-16.