configvlm 0.1.1

A state-of-the-art tool for Python developers seeking to rapidly and iteratively develop vision and language models within the [`pytorch`](https://pytorch.org/) framework

ConfigVLM

The library ConfigVLM is a state-of-the-art tool for Python developers seeking to rapidly and iteratively develop vision and language models within the pytorch framework. This open-source library provides a convenient implementation for seamlessly combining models from two of the most popular pytorch libraries, the highly regarded timm and huggingface🤗. With an extensive collection of nearly 1000 vision and over 100 language models, with an additional 120,000 community-uploaded models in the huggingface🤗 model collection, ConfigVLM offers a diverse range of model combinations that require minimal implementation effort. Its vast array of models makes it an unparalleled resource for developers seeking to create innovative and sophisticated vision-language models with ease.

Furthermore, ConfigVLM boasts a user-friendly interface that streamlines the exchange of model components, thus providing endless possibilities for the creation of novel models. Additionally, the package offers pre-built and throughput-optimized pytorch dataloaders and lightning datamodules, which enable developers to seamlessly test their models in diverse application areas, such as Remote Sensing (RS). Moreover, the comprehensive documentation of ConfigVLM includes installation instructions, tutorial examples, and a detailed overview of the framework's interface, ensuring a smooth and hassle-free development experience.

For detailed information please visit the publication or the documentation.

ConfigVLM is released under the MIT Software License