How to Use the Huggingface 🤗 Evaluate Library in Action (With Batching)

Author(s): Ala Alam Falaki

Originally published on Towards AI.

The Evaluate library is compelling; however, it was confusing the first time I wanted to try it. It threw an OOM error by applying it to my test set…

Photo by Darling Arias on Unsplash

In this piece, I will write a guide about Huggingface’s Evaluate library that can help you quickly assess your models. You will learn how to use the package and see a real-world example. It shows the code on how to load the dataset, batch it, and write the testing loop utilizing the combination of Huggingface (HF) and PyTorch.

The Evaluate library has a great design. (You can say this for almost any Huggingface product) It supports various metrics for different tasks and can use third-party metric implementations from Spaces. You can install the library using the… Read the full blog for free on Medium.

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Published via Towards AI