Sentence-transformers model that can be used for tasks like clustering or semantic search.
embedding
278m
10.8K Pulls Updated 4 months ago
Updated 4 months ago
4 months ago
ba13c2e06707 · 563MB
model
archbert
·
parameters277M
·
quantizationF16
563MB
params
{
"num_ctx": 128
}
16B
license
Apache License
Version 2.0, January 2004
11kB
Readme
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
@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",
}