google/t5-v1_1-xxl is an open-weight encoder-decoder transformer model from Google, trained on the C4 dataset. It supports a wide range of text-to-text tasks including translation, summarization, and question answering. The model is available on Hugging Face for download and inference using the Transformers library.
In the Foundation models & chat space, T5 V1 1 Xxl takes a focused approach. It focuses on running and experimenting with the T5 v1.1 XXL foundation model locally or via hosted inference. T5 V1 1 Xxl is an open-source project aimed at machine learning researchers and developers. The project is open source (Apache-2.0). T5 V1 1 Xxl is available on the web and API.
It is developed by Google (United States), and the product first shipped in 2019. The project is developed in the open on GitHub with 6.5k stars and 1 commits in the last 90 days. Among its 3 catalogued features are Text-to-Text Generation, Encoder-Decoder Architecture, and Multi-task Learning.
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