gte-large

embed

The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE models are trained on a large-scale corpus of relevance text pairs, covering a wide range of domains and scenarios. This enables the GTE models to be applied to various downstream tasks of text embeddings, including information retrieval, semantic textual similarity, text reranking, etc.

Capabilities

No supported capabilities recorded.

Details

Model IDthenlper/gte-large
Provider DeepInfra
Creator thenlper
Familythenlper
License—
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: thenlper

ModelContextMax out
gte-base——
gte-large——

API

GET/v1/models/deepinfra/thenlper/gte-large