Replicate

Most recent version: v0.1.0

See the changelog of this Action type here.

Overview

This action offers automatic integration with models available on the Replicate platform, whether publicly accessible or privately deployed. This component simplifies accessing and utilizing a wide array of models without manual integration efforts.

Integrating Onum with replicate.com can offer several benefits, enhancing the platform's capabilities and the value it delivers:

  • Access to a Broad Range of Models

  • Ease of Model Deployment

  • Scalability

  • Continuous Model Updates

  • Cost-Effective AI Integration

  • Rapid Prototyping and Experimentation

  • Enhanced Data Privacy and Security

Ports

These are the input and output ports of this Action:

Input ports
  • Default port - All the events to be processed by this Action enter through this port.

Output ports
  • Default port - Events are sent through this port if no error occurs while processing them.

  • Error port - Events are sent through this port if an error occurs while processing them.

Configuration

1

Find MLReplicate in the Actions tab (under the Enrichment group) and drag it onto the canvas. Link it to the required Listener and Data sink.

2

To open the configuration, click the Action in the canvas and select Configuration.

3

Enter the required parameters:

Parameter
Description

Token*

The API token of the model you wish to

Version*

The version can usually be located by running a command on the machine using Replicate API.

Input

This will be the input IP.

Output

Specify a name for the output event.

4

Click Save to complete.

Where to find these values

It is possible to use all the public models from https://replicate.com/collections/language-models related to process natural language.

To fill in the values, you need to utilize the information about the user and model from Replicate.com and execute a copy/paste. The following image illustrates how to locate the required parameters on the Replicate.com model website.

Just in case, if the version does not appear, choose the Cog tag and copy the version like in the following picture.

A version identifies every model and requires a set of input parameters.

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