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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# Model Card for gowitheflow/LASER-cubed-bert-base-unsup
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Official model repo of EMNLP 2023 paper "Length is a Curse and a Blessing for Document-level Semantics"
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language:
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- en
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pipeline_tag: sentence-similarity
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---
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# Model Card for gowitheflow/LASER-cubed-bert-base-unsup
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Official model repo of EMNLP 2023 paper "Length is a Curse and a Blessing for Document-level Semantics"
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