nateraw/all-mpnet-base-v2 – Run with an API on Replicate

nateraw / all-mpnet-base-v2

Cold

Public
7 runs
T4

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=nateraw/all-mpnet-base-v2

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 nateraw/all-mpnet-base-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nateraw/all-mpnet-base-v2:caeac96c27e20629799d0f6e89ebfd2f894aebfc4400538cdf7d47aeaef1cb61",
  {
    input: {
      texts: "",
      batch_size: 32,
      convert_to_numpy: false,
      normalize_embeddings: true
    }
  }
);
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 nateraw/all-mpnet-base-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nateraw/all-mpnet-base-v2:caeac96c27e20629799d0f6e89ebfd2f894aebfc4400538cdf7d47aeaef1cb61",
    input={
        "texts": "",
        "batch_size": 32,
        "convert_to_numpy": False,
        "normalize_embeddings": True
    }
)
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 nateraw/all-mpnet-base-v2 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": "caeac96c27e20629799d0f6e89ebfd2f894aebfc4400538cdf7d47aeaef1cb61",
    "input": {
      "texts": "",
      "batch_size": 32,
      "convert_to_numpy": false,
      "normalize_embeddings": true
    }
  }' \
  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.

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.