Text classification is a common NLP task that assigns a label or class to text. Some of the largest companies run text classification in production for a ...
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Text classification is a common NLP task that assigns a label or class to text. There are many practical applications of text classification widely used in ...
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CONCEPTUAL GUIDES offers more discussion and explanation of the underlying concepts and ideas behind models, tasks, and the design philosophy of Transformers ...
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Transformers is a library of pretrained state-of-the-art models for natural language processing (NLP), computer vision, and audio and speech processing tasks ...
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Bert Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks. This model ...
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In this tutorial, you will fine-tune a pretrained model with a deep learning framework of your choice: Fine-tune a pretrained model with Transformers Trainer ...
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Sequence classification is the task of classifying sequences according to a given number of classes. An example of sequence classification is the GLUE dataset, ...
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Pipelines. The pipelines are a great and easy way to use models for inference. These pipelines are objects that abstract most of the complex code from the ...
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