ReaderLM v2
ReaderLM v2 is a cutting-edge small language model for converting HTML to Markdown and JSON.
Product Details
ReaderLM v2 is a small language model with 1.5B parameters launched by Jina AI. It is specially used for HTML to Markdown conversion and HTML to JSON extraction, with excellent accuracy. The model supports 29 languages and can handle input and output combination lengths of up to 512K tokens. It adopts a new training paradigm and higher quality training data. Compared with the previous generation product, it has made significant progress in processing long text content and generating Markdown syntax. It can skillfully use Markdown syntax and is good at generating complex elements. In addition, ReaderLM v2 also introduces a direct HTML to JSON generation function, allowing users to extract specific information from the original HTML according to a given JSON schema, eliminating the need for intermediate Markdown conversion.
Main Features
How to Use
Target Users
The target audience includes developers, content creators, data analysts, etc. who need to convert web content to Markdown format, as well as businesses and researchers who need to extract structured data from web pages. For developers, ReaderLM v2 can help them quickly convert web content into a format suitable for further processing; for content creators, it can easily organize web content into Markdown format for sharing or archiving; for businesses and researchers, its HTML to JSON function helps to efficiently extract key information from web pages for data analysis and research work.
Examples
Developers use ReaderLM v2 to convert collected web news into Markdown format for easy sharing on technology blogs.
Enterprise data analysts use its HTML to JSON function to extract product information from web pages for market analysis reports.
Researchers use this model to extract paper information from academic websites and store it in JSON format to facilitate subsequent research data collection.
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