Uploaded April 2023 | Updated September 2026, 2 weeks ago
Real-life generative AI! In this video, I show you how to fine-tune a Google FLAN-T5 model to summarize legal text.
We first deploy the model straight from the Hugging Face Hub to Amazon SageMaker, and we evaluate it on legal data. Then, using GPU instances managed by SageMaker, we fine-tune the model with a Hugging Face script and we deploy it again.
October 2023: follow-up video on using QLoRA to optimize cost-performance: youtu.be/ebQ2wyn8RGM
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- Code: gitlab.com/juliensimon/huggingface-demos/-/tree/main/summarization-t5
- Model: huggingface.co/google/flan-t5-large
- Dataset: huggingface.co/datasets/billsum
Real-life generative AI! In this video, I show you how to fine-tune a Google FLAN-T5 model to summarize legal text.
We first deploy the model straight from the Hugging Face Hub to Amazon SageMaker, and we evaluate it on legal data. Then, using GPU instances managed by SageMaker, we fine-tune the model with a Hugging Face script and we deploy it again.
October 2023: follow-up video on using QLoRA to optimize cost-performance: youtu.be/ebQ2wyn8RGM
⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos ⭐️⭐️⭐️
- Code: gitlab.com/juliensimon/huggingface-demos/-/tree/main/summarization-t5
- Model: huggingface.co/google/flan-t5-large
- Dataset: huggingface.co/datasets/billsum
