Create README.md
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README.md
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---
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license: mit
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datasets:
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- the_pile_openwebtext2
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language:
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- en
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pipeline_tag: token-classification
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---
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/NathanGodey/headless-lm
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- **Paper:** https://arxiv.org/abs/2309.08351
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### Model Architecture and Objective
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This model is a Pythia-70m architecture trained on OpenWebText-2 using the Contrastive Weight Tying objective, and briefly fine-tuned for language generation on the same dataset.
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## Citation
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**BibTeX:**
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```bibtex
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@misc{godey2023headless,
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title={Headless Language Models: Learning without Predicting with Contrastive Weight Tying},
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author={Nathan Godey and Éric de la Clergerie and Benoît Sagot},
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year={2023},
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eprint={2309.08351},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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## Contact
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