Hugging Face model: RedHatAI/all-MiniLM-L6-v2
Author: RedHatAI
Created: 2026-02-18 17:51:20
Last modified: 2026-05-05 18:12:15
Pipeline: sentence-similarity
Library: sentence-transformers
Likes: 0 | Downloads: 340
Tags: sentence-transformers, pytorch, tf, rust, onnx, safetensors, openvino, bert, feature-extraction, sentence-similarity, transformers, en, dataset:s2orc, dataset:flax-sentence-embeddings/stackexchange_xml, dataset:ms_marco, dataset:gooaq, dataset:yahoo_answers_topics, dataset:code_search_net, dataset:search_qa, dataset:eli5, dataset:snli, dataset:multi_nli, dataset:wikihow, dataset:natural_questions, dataset:trivia_qa, dataset:embedding-data/sentence-compression, dataset:embedding-data/flickr30k-captions, dataset:embedding-data/altlex, dataset:embedding-data/simple-wiki, dataset:embedding-data/QQP, dataset:embedding-data/SPECTER, dataset:embedding-data/PAQ_pairs, dataset:embedding-data/WikiAnswers, arxiv:1904.06472, arxiv:2102.07033, arxiv:2104.08727, arxiv:1704.05179, arxiv:1810.09305, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us
Card metadata:
language: en
license: apache-2.0
license_name: apache-2.0
name: RedHatAI/all-MiniLM-L6-v2
description: This is a sentence-transformers model. It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
readme: https://huggingface.co/RedHatAI/all-MiniLM-L6-v2/main/README.md
library_name: sentence-transformers
provider: SentenceTransformers
license_link: https://www.apache.org/licenses/LICENSE-2.0
tasks: text-embedding
hardware_tag: Intel Xeon
tags: sentence-transformers, feature-extraction, sentence-similarity, transformers
datasets: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net, search_qa, eli5, snli, multi_nli, wikihow, natural_questions, trivia_qa, embedding-data/sentence-compression, embedding-data/flickr30k-captions, embedding-data/altlex, embedding-data/simple-wiki, embedding-data/QQP, embedding-data/SPECTER, embedding-data/PAQ_pairs, embedding-data/WikiAnswers
pipeline_tag: sentence-similarity