There are two common types of question answering tasks: Extractive: extract the answer from the given context. Abstractive: generate an answer from the context ...
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People also ask
What are Hugging Face transformers used for?
How to fine tune Bert for question answering?
Is Hugging Face transformers free?
What is the extractive question answering task?
This guide will show you how to fine-tune DistilBERT on the SQuAD dataset for extractive question answering. See the question answering task page for more ...
Document Question Answering, also referred to as Document Visual Question Answering, is a task that involves providing answers to questions posed about ...
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Question Answering models can retrieve the answer to a question from a given text, which is useful for searching for an answer in a document.
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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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A multiple choice task is similar to question answering, except several candidate answers are provided along with a context and the model is trained to select ...
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Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages.
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