DeBERTa-v3-small is Microsoft’s open-weight transformer model for masked-language modeling and language understanding. Developers and researchers can load it locally with Transformers, PyTorch, or TensorFlow, or use supported inference services.
In the Foundation models & chat space, Deberta V3 Small takes a focused approach. It focuses on running fill-mask and language understanding tasks with an open-weight transformer model. It is built as an open-source project for machine learning developers and researchers. The project is open source (MIT). It ships for the web, the command line, and API, and it can be self-hosted.
Microsoft builds and maintains Deberta V3 Small, and it first shipped in 2020. The project is developed in the open on GitHub with 2.2k stars. Key capabilities include fill-mask inference, transformers support, and pyTorch support.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do