Hi there!
This repository contains demos I made with the Transformers library by 🤗 HuggingFace.
Currently, it contains the following demos:
- BERT:
- fine-tuning
BertForTokenClassificationon a named entity recognition (NER) dataset
- fine-tuning
- LayoutLM:
- fine-tuning
LayoutLMForTokenClassificationon the FUNSD dataset
- fine-tuning
- TAPAS:
- fine-tuning
TapasForQuestionAnsweringon the Microsoft Sequential Question Answering (SQA) dataset - evaluating
TapasForSequenceClassificationon the Table Fact Checking (TabFact) dataset
- fine-tuning
If you have any questions regarding these demos, feel free to open an issue on this repository.
Btw, I was also the main contributor 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.