e5-base-v2

embedmit

Text Embeddings by Weakly-Supervised Contrastive Pre-training. Model has 24 layers and 1024 out dim.

Capabilities

Infrastructure
Fine-tuning

Details

Model IDintfloat/e5-base-v2
Provider DeepInfra
Creator intfloat
Familye5
Licensemit
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: e5

ModelContextMax out
e5-base-v2——
e5-large-v2——
multilingual-e5-large-instruct——
multilingual-e5-large——

API

GET/v1/models/deepinfra/intfloat/e5-base-v2