## [v0.2.77] - 2024-08-04

Significant improvements in text processing and performance:

- 🚀 **Dependency reduction**: Removed dependency on spaCy model for text chunk labeling in cosine extraction strategy.
- 🤖 **Transformer upgrade**: Implemented text sequence classification using a transformer model for labeling text chunks.
-  **Performance enhancement**: Improved model loading speed due to removal of spaCy dependency.
- 🔧 **Future-proofing**: Laid groundwork for potential complete removal of spaCy dependency in future versions.

These changes address issue #68 and provide a foundation for faster, more efficient text processing in Crawl4AI.
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# Changelog
## [v0.2.77] - 2024-08-04
Significant improvements in text processing and performance:
- 🚀 **Dependency reduction**: Removed dependency on spaCy model for text chunk labeling in cosine extraction strategy.
- 🤖 **Transformer upgrade**: Implemented text sequence classification using a transformer model for labeling text chunks.
-**Performance enhancement**: Improved model loading speed due to removal of spaCy dependency.
- 🔧 **Future-proofing**: Laid groundwork for potential complete removal of spaCy dependency in future versions.
These changes address issue #68 and provide a foundation for faster, more efficient text processing in Crawl4AI.
## [v0.2.76] - 2024-08-02
Major improvements in functionality, performance, and cross-platform compatibility! 🚀

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# Crawl4AI v0.2.76
# Crawl4AI v0.2.77
Welcome to the official documentation for Crawl4AI! 🕷️🤖 Crawl4AI is an open-source Python library designed to simplify web crawling and extract useful information from web pages. This documentation will guide you through the features, usage, and customization of Crawl4AI.