m2-bert-80M-retrieval
Model Overview
The model integrates advanced machine learning techniques to excel in searching and retrieving relevant information from vast datasets. With its 8k parameter design, it balances performance and efficiency, making it suitable for applications requiring high-speed data access and analysis.
Setup your API Key
If you don’t have an API key for the Apilaplas API yet, feel free to use our Quickstart guide.
Submit a request
API Schema
post
Authorizations
Body
modelundefined · enumRequiredPossible values:
inputstring · min: 1 · max: 3000Required
encoding_formatstringOptional
Responses
201Success
post
POST /v1/embeddings HTTP/1.1
Host: api.apilaplas.com
Authorization: Bearer <YOUR_LAPLASAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 93
{
"model": "togethercomputer/m2-bert-80M-2k-retrieval",
"input": "text",
"encoding_format": "text"
}
201Success
No content
Last updated