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README.md

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This repository contains demos I made with the [Transformers library](https://github.com/huggingface/transformers) by 🤗 HuggingFace.
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Currently, it contains the following demos:
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* BERT:
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- fine-tuning `BertForTokenClassification` on a named entity recognition (NER) dataset
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* LayoutLM:
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- fine-tuning `LayoutLMForTokenClassification` on the [FUNSD](https://guillaumejaume.github.io/FUNSD/) dataset
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* TAPAS:
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- fine-tuning `TapasForQuestionAnswering` on the Microsoft [Sequential Question Answering (SQA)](https://www.microsoft.com/en-us/download/details.aspx?id=54253) dataset
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- evaluating `TapasForSequenceClassification` on the [Table Fact Checking (TabFact)](https://tabfact.github.io/) dataset
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If you have any questions regarding these demos, feel free to open an issue on this repository.
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Btw, I was also the [main contributor](https://github.com/huggingface/transformers/pull/9117) to add the TAPAS algorithm by Google AI to the library, so this was an incredible learning experience. I can recommend anyone to contribute an AI algorithm to the library.

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