jon-tow/text-sed
Implementation of Self-conditioned Embedding Diffusion for Text Generation
This is an experimental implementation of a new research paper on generating text. It takes a configuration and training data (like descriptions of restaurants) and generates new, similar text descriptions. A researcher or academic working on advanced text generation models, particularly those interested in diffusion models for natural language processing, would use this.
No commits in the last 6 months.
Use this if you are a researcher exploring cutting-edge methods for unconditional text generation and want to experiment with self-conditioned embedding diffusion models.
Not ideal if you need a production-ready text generation tool or a model for specific conditional text generation tasks right now.
Stars
39
Forks
7
Language
Python
License
MIT
Category
Last pushed
Jan 06, 2023
Commits (30d)
0
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