thenlper/gte-large cover image

thenlper/gte-large

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.

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.

Public
$0.010 / Mtoken
512
PaperLicense

OpenAI-compatible HTTP API

DeepInfra supports the OpenAI embeddings API. The following creates an embedding vector representing the input text

curl "https://api.deepinfra.com/v1/openai/embeddings" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
  -d '{
    "input": "The food was delicious and the waiter...",
    "model": "thenlper/gte-large",
    "encoding_format": "float"
  }'

which will return something similar to

{
  "object":"list",
  "data":[
    {
      "object": "embedding",
      "index":0,
      "embedding":[
        -0.010480394586920738,
        -0.0026091758627444506
        ...
        0.031979579478502274,
        0.02021978422999382
      ]
    }
  ],
  "model": "thenlper/gte-large",
  "usage": {
    "prompt_tokens":12,
    "total_tokens":12
  }
}

Input fields

modelstring

model name


inputarray

sequences to embed


encoding_formatstring

format used when encoding

Default value: "float"

Allowed values: float

Input Schema

Output Schema