|
--- |
|
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. |
