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MLRoBERTa
shrutisingh/MLRoBERTa
MLRoBERTa is a fill-mask model from shrutisingh. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
This is a RoBERTa model trained on scientific documents. The dataset is composed of NeurIPS (1987-2019), CVPR (2013-2020), ICLR (2016-2020), ACL Anthology data (till 2019) paper title and abstracts, and ICLR paper rev…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 15, 2023
- Updated
- Apr 26, 2023
- SHA
- cceb620c
Try a prompt
Model card
From the Hugging Face model README
MLRoBERTa (RoBERTa pretrained on ML Papers)
How to use:
from transformers import AutoTokenizer, AutoModel
tok = AutoTokenizer.from_pretrained('shrutisingh/MLRoBERTa')
model = AutoModel.from_pretrained('shrutisingh/MLRoBERTa')
Pretraining Details:
This is a RoBERTa model trained on scientific documents. The dataset is composed of NeurIPS (1987-2019), CVPR (2013-2020), ICLR (2016-2020), ACL Anthology data (till 2019) paper title and abstracts, and ICLR paper reviews.
Citation:
@inproceedings{singh2021compare,
title={COMPARE: a taxonomy and dataset of comparison discussions in peer reviews},
author={Singh, Shruti and Singh, Mayank and Goyal, Pawan},
booktitle={2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)},
pages={238--241},
year={2021},
organization={IEEE}
}
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Apr 15, 2023
- Updated
- Apr 26, 2023