课程: AutoML: Build Production-Ready Models Quickly!
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Formatting and uploading your data for your task - Python教程
课程: AutoML: Build Production-Ready Models Quickly!
Formatting and uploading your data for your task
- [Instructor] So, we have successfully created our project. We can see details about it at the top of our page here such as, the name of our project, the type of task that it is, as well as the model that we have manually selected for its use. AutoTrain also includes recommendations about the way that our dataset should be formatted for use. We have the option to select a dataset from the HuggingFace Hub by choosing browse dataset here and searching for a dataset. Alternatively, we can upload a CSV file or JSONL file. Our portal file must have at least two columns, one containing the text to be classified, and another containing the label, or text, or target for the text. For our dataset, the content column contains the text to be classified and the category column contains the label, or the target, for the text. It is important to take notes of this formatting recommendation because data really comes neatly…
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内容
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NLP: How do you handle text data?1 分钟 51 秒
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Introducing HugginFace AutoTrain4 分钟 31 秒
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Formatting and uploading your data for your task3 分钟 16 秒
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Training your AutoNLP model and making predictions7 分钟 3 秒
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Challenge: Multi-class text classification1 分钟 5 秒
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Solution: Multi-class text classification4 分钟 45 秒
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