tiny-T5ForConditionalGeneration is a very small T5-based model created for internal testing within the TRL (Transformers Reinforcement Learning) project. It implements text-to-text generation capabilities and is used to validate training, inference, and integration code in the Hugging Face ecosystem. The model is not intended for production use but serves as a minimal reproducible example for developers working on fine-tuning and alignment techniques.
Tiny T5ForConditionalGeneration is a Foundation models & chat project. It focuses on providing a tiny reference model for testing and developing with the TRL (Transformers Reinforcement Learning) library. Tiny T5ForConditionalGeneration is an open-source project aimed at developers. Tiny T5ForConditionalGeneration is open source under the Apache-2.0 license. It ships for the web and API.
Behind Tiny T5ForConditionalGeneration is trl-internal-testing, and it first shipped in 2020. The project is developed in the open on GitHub with 18.9k stars and 523 commits in the last 90 days.
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