From 9e0c865b8be73cfe7aac1b5aa146cd7839784c8a Mon Sep 17 00:00:00 2001 From: Vladimir Gutuev Date: Mon, 30 Jun 2025 18:53:43 +0300 Subject: [PATCH] docs: correct two typos in awesome-transformers.md (#39102) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * docs(awesome-projects): fix typo “Itt leverages” → “It leverages” (#39101) closes #39101 * docs(awesome-projects): fix grammar “We provides” → “We provide” (#39101) closes #39101 --- awesome-transformers.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/awesome-transformers.md b/awesome-transformers.md index 29f50184ec3..adc84f101ea 100644 --- a/awesome-transformers.md +++ b/awesome-transformers.md @@ -288,7 +288,7 @@ Keywords: Music understanding, Music generation ## [dalle-flow](https://github.com/jina-ai/dalle-flow) -DALL·E Flow is an interactive workflow for generating high-definition images from a text prompt. Itt leverages DALL·E-Mega, GLID-3 XL, and Stable Diffusion to generate image candidates, and then calls CLIP-as-service to rank the candidates w.r.t. the prompt. +DALL·E Flow is an interactive workflow for generating high-definition images from a text prompt. It leverages DALL·E-Mega, GLID-3 XL, and Stable Diffusion to generate image candidates, and then calls CLIP-as-service to rank the candidates w.r.t. the prompt. The preferred candidate is fed to GLID-3 XL for diffusion, which often enriches the texture and background. Finally, the candidate is upscaled to 1024x1024 via SwinIR. Keywords: High-definition image generation, Stable Diffusion, DALL-E Mega, GLID-3 XL, CLIP, SwinIR @@ -526,7 +526,7 @@ Keywords: Model deployment, CLoud, Mobile, Edge ## [underthesea](https://github.com/undertheseanlp/underthesea) -[underthesea](https://github.com/undertheseanlp/underthesea) is a Vietnamese NLP toolkit. Underthesea is a suite of open source Python modules data sets and tutorials supporting research and development in Vietnamese Natural Language Processing. We provides extremely easy API to quickly apply pretrained NLP models to your Vietnamese text, such as word segmentation, part-of-speech tagging (PoS), named entity recognition (NER), text classification and dependency parsing. +[underthesea](https://github.com/undertheseanlp/underthesea) is a Vietnamese NLP toolkit. Underthesea is a suite of open source Python modules data sets and tutorials supporting research and development in Vietnamese Natural Language Processing. We provide extremely easy API to quickly apply pretrained NLP models to your Vietnamese text, such as word segmentation, part-of-speech tagging (PoS), named entity recognition (NER), text classification and dependency parsing. Keywords: Vietnamese, NLP