DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entries
Paper • 2405.16153 • Published
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("RyuKT/DefSentPlus-roberta-base")
model = AutoModel.from_pretrained("RyuKT/DefSentPlus-roberta-base")Quick Links
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BibTeX
@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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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RyuKT/DefSentPlus-roberta-base")