Hi there!
This repository contains demos I made with the Transformers library by 🤗 HuggingFace.
Currently, it contains the following demos:
- BERT (paper):
- LayoutLM (paper):
- TAPAS (paper):
- fine-tuning
TapasForQuestionAnswering
on the Microsoft Sequential Question Answering (SQA) dataset - evaluating
TapasForSequenceClassification
on the Table Fact Checking (TabFact) dataset
- fine-tuning
- Vision Transformer (paper):
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 Vision Transformer (ViT) by Google AI, Data-efficient Image Transformers (DeiT) by Facebook AI, TAbular Parsing (TAPAS) by Google AI and LUKE by Studio Ousia to the library, so all of them were an incredible learning experience. I can recommend anyone to contribute an AI algorithm to the library!