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TextEmbed provides a robust and scalable REST API for generating vector embeddings from text. Built for performance and flexibility, it supports various sentence-transformer models, allowing users to easily integrate state-of-the-art NLP techniques into their applications. Whethe
pip install textembed
PyPI declares 60 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==0.6.0==4.3.0==2024.2.2==3.3.2==8.1.7==2.6.1==2.1.1==0.111.0==0.0.3==3.14.0==2024.5.0==0.14.0==1.0.5==0.6.1==0.27.0==0.23.1==3.7==3.1.4==1.4.2==3.0.0==2.1.5==0.1.2==1.3.0==3.3==1.26.4The compact report shows 25 of 60 declarations. The interactive dependency graph loads the complete metadata.
textembed publishes 1 wheel and 1 source archive for version 0.0.8. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .