Diffusion-BERT
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Enhance text generation quality by combining language models with diffusion models for better results.
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Diffusion-BERT has 342 stars on GitHub. It has been forked 27 times. Diffusion-BERT is written mainly in Python. It has been in active development since 2022. Diffusion-BERT is available under the Apache-2.0 license. Its main topics are bert, conditional-generation, diffusion-models, pretrained-language-model.
What is Diffusion-BERT?
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Is Diffusion-BERT open source?
Diffusion-BERT is an open-source project. It is released under the Apache-2.0 license.
Is Diffusion-BERT free?
Yes. Diffusion-BERT is free and open source — you can use, modify and self-host it.
What license does Diffusion-BERT use?
Diffusion-BERT is available under the Apache-2.0 license.
What language is Diffusion-BERT written in?
Diffusion-BERT is written mainly in Python.
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