center-for-curriculum-redesign/bge_1-5_embedding:dea4c9ca

Version

You're looking at a specific version of this model. Jump to the model overview.

center-for-curriculum-redesign /bge_1-5_embedding:dea4c9ca

Playground API

Input

texts

string

Shift + Return to add a new line

A JSON-formatted list of strings to encode.

options

string

Shift + Return to add a new line

A JSON-formatted string containing additional options for encoding.{ 'for_retrieval': bool //set to true to query embeddings suitable for document retrieval, false for storage embeddings. (default: false), 'normalize': bool //set to true to normalize returned embedding vectors to a magnitude of 1. (default: true, as this model presumes cosine similarity comparisons downstream), 'batchtoken_max': int //optional, maximumum number of tokens to try to stuff into a batch (to avoid out of memory errors). If the total number of tokens across the list of requested embeddings exceed this value, list will be split internally and run across multiple forward passes. The result will still be a single list. for a 40GB GPU, a good numnber is 16384 'precision' : str //optional, either full or half. defaults to a paranoid value of full}

Run this model in Node.js with one line of code:

npx create-replicate --model=center-for-curriculum-redesign/bge_1-5_embedding

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run center-for-curriculum-redesign/bge_1-5_embedding using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "center-for-curriculum-redesign/bge_1-5_embedding:dea4c9ca00497661d561d64701e53008e480d30f3ebd8d313ada45777dbf8fdd",
  {
    input: {}
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run center-for-curriculum-redesign/bge_1-5_embedding using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "center-for-curriculum-redesign/bge_1-5_embedding:dea4c9ca00497661d561d64701e53008e480d30f3ebd8d313ada45777dbf8fdd",
    input={}
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run center-for-curriculum-redesign/bge_1-5_embedding using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "center-for-curriculum-redesign/bge_1-5_embedding:dea4c9ca00497661d561d64701e53008e480d30f3ebd8d313ada45777dbf8fdd",
    "input": {}
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.