FNet Base is a pretrained transformer model published by Google and distributed through Hugging Face for local use with the Transformers library. It is intended for developers and researchers building or evaluating text-processing and natural-language applications.
Fnet Base sits in PulseGate's Other models category. It focuses on providing a lightweight pretrained language model for text-processing and NLP applications. Fnet Base is an open-source project aimed at machine learning developers and researchers. The project is open source (Apache-2.0). It ships for the web and the command line, and it can be self-hosted.
It is developed by Google, and it first shipped in 2018. The project is developed in the open on GitHub with 38.6k stars and 89 commits in the last 90 days. Among its 5 catalogued features are pretrained model, transformer architecture, and text encoding.
Summary written by a language model from the project’s public pages.
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