<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language_model on Sawyer Zheng's Blog</title><link>https://elated-raman-42e0c2.netlify.app/tags/language_model/</link><description>Recent content in Language_model on Sawyer Zheng's Blog</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 16 Jul 2024 11:28:46 +0800</lastBuildDate><atom:link href="https://elated-raman-42e0c2.netlify.app/tags/language_model/index.xml" rel="self" type="application/rss+xml"/><item><title>Bert</title><link>https://elated-raman-42e0c2.netlify.app/post/notes/ai/nlp/language_model/bert/</link><pubDate>Tue, 18 Jul 2023 00:00:00 +0000</pubDate><guid>https://elated-raman-42e0c2.netlify.app/post/notes/ai/nlp/language_model/bert/</guid><description>&lt;div id="outline-container-headline-1" class="outline-2"&gt;
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参考
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&lt;ul&gt;
&lt;li&gt;&lt;a href="https://blog.csdn.net/codelady_g/article/details/124678760"&gt;BERT详解：概念、原理与应用__StarryNight_的博客-CSDN博客&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;huggingface 解释 bert: &lt;a href="https://huggingface.co/blog/bert-101"&gt;BERT 101 - State Of The Art NLP Model Explained&lt;/a&gt;&lt;/li&gt;
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&lt;p&gt;huggingface 训练 model 流程&lt;/p&gt;
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&lt;p&gt;&lt;a href="https://huggingface.co/blog/how-to-train"&gt;How to train a new language model from scratch using Transformers and Tokenizers&lt;/a&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;来源： &lt;a href="https://stackoverflow.com/questions/69720454/questions-when-training-language-models-from-scratch-with-huggingface"&gt;python - Questions when training language models from scratch with Huggingfac…&lt;/a&gt;&lt;/li&gt;
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&lt;p&gt;&lt;a href="https://github.com/datawhalechina/learn-nlp-with-transformers/tree/main"&gt;GitHub - datawhalechina/learn-nlp-with-transformers: we want to create a repo…&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>