Instructions to use gowitheflow/LASER-cubed-bert-base-unsup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflow/LASER-cubed-bert-base-unsup with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gowitheflow/LASER-cubed-bert-base-unsup") model = AutoModel.from_pretrained("gowitheflow/LASER-cubed-bert-base-unsup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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**BibTeX:**
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@inproceedings{xiao2023length,
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title={Length is a Curse and a Blessing for Document-level Semantics},
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author={Xiao, Chenghao and Li, Yizhi and Hudson, G and Lin, Chenghua and Al Moubayed, Noura},
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booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
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pages={1385--1396},
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year={2023}
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}
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**BibTeX:**
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```bibtex
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@inproceedings{xiao2023length,
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title={Length is a Curse and a Blessing for Document-level Semantics},
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author={Xiao, Chenghao and Li, Yizhi and Hudson, G and Lin, Chenghua and Al Moubayed, Noura},
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booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
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pages={1385--1396},
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year={2023}
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}
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```
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