Flan-T5 is the fine-tuned version of the T5 language model. Compared to T5, Flan-T5 has been fine-tuned on more than 1,000 additional tasks. This makes Flan-T5 a more efficient, open-source alternative to large language models like GPT-3 and GPT-4.
Try running Flan-T5 for yourself on the IPU (Intelligence Processing Unit), a completely new kind of massively parallel processor designed to accelerate machine intelligence. Access advanced, cost-efficient IPU compute on demand in the cloud via Paperspace notebooks to build, fine-tune and deploy AI models such as Flan-T5.
| Notebook | Framework | Type | Try for Free |
|---|---|---|---|
| Flan-T5 is (probably) all you need | Hugging Face | Inference |  |
In this Paperspace notebook, you will learn how to use Flan-T5 for some common NLP tasks including text generation, sentiment analysis, advanced named entity recognition, question answering, intent classification, summarization and text classification.
Note: If you have an existing Flan-T5 application based on Hugging Face, you only need to change two lines of code to be able to run it on IPUs.
- Hugging Face models
- Overview blog
- How-to walkthrough blog
- Original paper
To find out more about running Flan-T5 on IPUs, or speak to an expert, please feel free to contact us.
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The contents of this repository are made available according to the terms of the Apache 2.0 licence. See the included LICENSE file for details.