dense Open weights ST compatible text
sentence-transformers/all-MiniLM-L12-v2
- Languages
- English
- License
- apache-2.0
- Trained on
MSMARCOMSMARCO-PLMSMARCOHardNegativesNQNQ-NLNQ-PLNQHardNegativesNanoMSMARCORetrieval +2 more
NanoNQRetrievalmMARCO-NL
Cite this model
Citation (BibTeX)
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "http://arxiv.org/abs/1908.10084",
}
Parameters 33M
Active parameters 22M
Embedding dim 384
Max tokens 256
Memory 127 MB
Released 2021-08-30
Openness
4/6
- Open weights
- Open license
- Training code
- Training data
- Paper
- Model card