# E5 embedding models **URL:** \ **Category:** 🤗Transformers\ **Created:** [March 17, 2025, 12:50pm UTC](https://discuss.huggingface.co/t/e5-embedding-models/146117 "2025-03-17T12:50:54Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![koleckar](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/koleckar/32/43462_2.png) [@koleckar](https://discuss.huggingface.co/u/koleckar)\ **Post date:** [March 17, 2025, 12:50pm UTC](https://discuss.huggingface.co/t/e5-embedding-models/146117/1 "2025-03-17T12:50:54Z")
Hello everyone, we are unable to find any existing pre-training/fine-tuning scripts for e5-models family. Can someone help us? Thank you very much for any answers. W/regards David Koleckar ---
**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\ **Post date:** [March 17, 2025, 4:54pm UTC](https://discuss.huggingface.co/t/e5-embedding-models/146117/2 "2025-03-17T16:54:47Z")
I wonder if the model is for SentenceTransformer rather than Transformers, so it’s different in terms of usability. > **[Training and Finetuning Embedding Models with Sentence Transformers v3](https://huggingface.co/blog/train-sentence-transformers)** > > We’re on a journey to advance and democratize artificial intelligence through open source and open science. > > > Dear author: > The following informations is about the paper and project of E5: \[…Text Embeddings by Weakly-Supervised Contrastive Pre-training\](https://arxiv.org/pdf/2212.03533.pdf). Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022 > I want to fine-tune on my dataset. However, I do not know how to do it, there is no more information on the main site of GitHub: https://github.com/microsoft/unilm/tree/master/e5. > 1. I don't know how to prepare my data. Same as what is the data structure should I design. > 2. What the tools should I use? > Can you provide more information or train\_script / finetune\_script on the GitHub . > Thank you very much.