Downloads · 30 days
0
prototex-acl2022
anubrata/prototex-acl2022
prototex-acl2022 is a machine learning model from anubrata. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model is used in the following github repo:
Access
Public
Updated May 14, 2023
Repo size
1.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
Other1.6 GB · 100%
At a glance
- Library
- transformers
- Access
- Public
- Created
- May 14, 2023
- Updated
- May 14, 2023
- SHA
- 3187b937
Model card
From the Hugging Face model README
This model is used in the following github repo:
https://github.com/anubrata/ProtoTEx/blob/main/Notebooks/inference_and_explanations.ipynb
If you use this model please cite the original work:
https://aclanthology.org/2022.acl-long.213/
@inproceedings{das-etal-2022-prototex,
title = "{P}roto{TE}x: Explaining Model Decisions with Prototype Tensors",
author = "Das, Anubrata and
Gupta, Chitrank and
Kovatchev, Venelin and
Lease, Matthew and
Li, Junyi Jessy",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.acl-long.213",
doi = "10.18653/v1/2022.acl-long.213",
pages = "2986--2997"
}
- Library
- transformers
- Languages
- en
- Created
- May 14, 2023
- Updated
- May 14, 2023