Metadata-Version: 2.1
Name: infrabed
Version: 0.0.2
Summary: Python library designed to simplify client-side interaction with deep learning models that perform embedding calculations.
Author: DepDiko
Author-email: <yamen.habib@depdiko.com>
Keywords: python,embedding,deep learning
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown

With this library, users can easily interface with APIs that provide embedding services, allowing them to quickly generate high-quality embeddings for a wide range of natural language processing (NLP) tasks. Whether you need to perform sentiment analysis, semantic similarity matching, or any other task that requires the use of embeddings, Embedding Client makes it easy to access the power of deep learning models from within your Python environment.
