language:en license:apache-2.0 arxiv:2209.03648 region:us
---
license: apache-2.0
language:
- en
---
This dataset repository contains the data and pretrained model of a paper called FETA: Towards Specializing Foundation Models for Expert Task Applications",
It was published as a main conference paper in NeurIPS 2022 conference.
For explanations about the dataset, model checkpoints and how to use them, please visit the official Github repository of the paper at: https://github.com/alfassy/FETA/tree/main
arxiv link to paper: https://arxiv.org/abs/2209.03648
Papers with code link: https://paperswithcode.com/paper/feta-towards-specializing-foundation-models
Car manuals benchmark in Papers With Code website: https://paperswithcode.com/dataset/feta-car-manuals
IKEA benchmark in Papers With Code:https://paperswithcode.com/dataset/feta-ikea
The dataset and models files in this repository can NOT be used with Huggin Face's "datasets" and "models" code classes.