t5gemma-s-s-prefixlm is a text-to-text generation model that combines elements of T5 and Gemma architectures. Hosted on Hugging Face, it supports inference through the Transformers library and is intended for research and development use cases involving prefix language modeling. The model is open weights and can be used via pip, Docker, or the Hugging Face Inference API.
T5gemma S S Prefixlm sits in PulseGate's Foundation models & chat category. It focuses on running and experimenting with a specific T5-Gemma hybrid language model locally or via API. T5gemma S S Prefixlm is an open-source project aimed at machine learning researchers and developers. T5gemma S S Prefixlm is open source under the Apache-2.0 license. It ships for the web, the command line, and API.
Behind T5gemma S S Prefixlm is Google, and it first shipped in 2018. The project is developed in the open on GitHub with 36k stars and 1.9k commits in the last 90 days. Among its 3 catalogued features are Text Generation, prefixLM, and Transformers Compatible.
Summary written by a language model from the project’s public pages.
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