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headless-bert-bs64-owt2
nthngdy/headless-bert-bs64-owt2
headless-bert-bs64-owt2 is a token classification model from nthngdy. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
- Repository: https://github.com/NathanGodey/headless-lm - Paper: https://arxiv.org/abs/2309.08351
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587
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Repo size
990 MB
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2
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Repo makeup
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 26, 2023
- Updated
- Sep 26, 2023
- SHA
- 413d729a
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Datasets
Model card
From the Hugging Face model README
Model Sources
<!-- Provide the basic links for the model. -->- Repository: https://github.com/NathanGodey/headless-lm
- Paper: https://arxiv.org/abs/2309.08351
Model Architecture and Objective
This model is a bert-base architecture trained on OpenWebText-2 using the Contrastive Weight Tying objective.
Citation
BibTeX:
@misc{godey2023headless,
title={Headless Language Models: Learning without Predicting with Contrastive Weight Tying},
author={Nathan Godey and Éric de la Clergerie and Benoît Sagot},
year={2023},
eprint={2309.08351},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contact
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Jun 26, 2023
- Updated
- Sep 26, 2023