<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>NLP on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/nlp/</link><description>Recent content in NLP on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Tue, 22 Aug 2023 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/nlp/atom.xml" rel="self" type="application/rss+xml"/><item><title>Usage of the transformers Library</title><link>https://www.chenshaowen.com/en/blog/usage-of-transformers-lib.html</link><pubDate>Tue, 22 Aug 2023 00:00:00 +0000</pubDate><atom:modified>Tue, 22 Aug 2023 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/usage-of-transformers-lib.html</guid><description>transformers is a Python library developed by Hugging Face for using and training pretrained Transformer models in natural language processing (NLP) tasks. It provides many powerful tools and features that make working with text data and building NLP models much easier. The library is widely used across a variety of</description><dc:creator>微信公众号</dc:creator><category>Transformer</category><category>AI</category><category>LLM</category><category>NLP</category><category>Python</category></item></channel></rss>