all-mpnet-base-v2

embedapache-2.0

A sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various NLP tasks such as clustering, sentiment analysis, and question answering.

Capabilities

Infrastructure
Fine-tuning

Details

Model IDsentence-transformers/all-mpnet-base-v2
Provider DeepInfra
Creator sentence-transformers
Licenseapache-2.0
Statusactive
Typeembed
Input modalitiestext
Output modalitiesembedding
Open weightYes
Parameters—
Architecture—
Context window—
Max input—
Max output—
Reasoning tokens—
Knowledge cutoff—
Release date—
Sourceofficial

Endpoints

EmbeddingsPOST
Generate vector embeddings for texthttps://api.deepinfra.com/v1/openai/v1/embeddings

Family Comparison: sentence-transformers

ModelContextMax out
all-MiniLM-L12-v2——
all-MiniLM-L6-v2——
all-mpnet-base-v2——
clip-ViT-B-32-multilingual-v1——
clip-ViT-B-32——
multi-qa-mpnet-base-dot-v1——
paraphrase-MiniLM-L6-v2——

API

GET/v1/models/deepinfra/sentence-transformers/all-mpnet-base-v2

all-mpnet-base-v2

sentence-transformers/all-mpnet-base-v2

A sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various NLP tasks such as clustering, sentiment analysis, and question answering.

Changes · 1 entries
sentence-transformers/all-mpnet-base-v2create3e56cf1Apr 26, 2026, 07:23 PM