Instructions to use RyuKT/DefSentPlus-syncse-partial-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyuKT/DefSentPlus-syncse-partial-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-syncse-partial-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-syncse-partial-roberta-large") model = AutoModel.from_pretrained("RyuKT/DefSentPlus-syncse-partial-roberta-large") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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BibTeX
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@misc{liu2024defsent, title={DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entries}, author={Xiaodong Liu}, year={2024}, eprint={2405.16153}, archivePrefix={arXiv} }
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