From the course: MLOps Tools: MLflow and Hugging Face

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Using datasets

Using datasets - Hugging Face Tutorial

From the course: MLOps Tools: MLflow and Hugging Face

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Using datasets

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- [Instructor] We've seen how to add a CSV file directly into Hugging Face, and then start serving that with the datasets' repository and access it either with the UI, so through here, or using the datasets Hugging Face library. So one thing that you could do that is slightly different, I'm going to show you things that you can actually implement, is to add a custom files, these are optional, for CSV, tab separator values, and I think even JSON, you can add them directly into the UI. But I'll show you a couple things that are extra that you can do here. Now, I've added the same wine-ratings, but with different splits. The splits allows you to have access to a subset of the same data so that you don't have to, or to make it easier for your users if they want to have different parts of the data. So here, because I've added a few of those supporting files, you can see here that now I have a split. If I click here, I have test and I have validation. So if training, will have, I'm going to…

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