egsakash/kaksha-mitra | Run with an API on Replicate

Cold

Public

13 runs

L40S

Playground API Examples README Versions

Input

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

npx create-replicate --model=egsakash/kaksha-mitra

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 egsakash/kaksha-mitra using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "egsakash/kaksha-mitra:06df96ee1a9d20644c76e685cc65ee7e81b5d86c9833d13284aa640d9a2f2b93",
  {
    input: {
      debug: false,
      top_k: -1,
      top_p: 0.95,
      temperature: 0.7,
      system_prompt: "You are a helpful, respectful and honest assistant.",
      max_new_tokens: 128,
      min_new_tokens: -1,
      repetition_penalty: 1.15
    }
  }
);

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 egsakash/kaksha-mitra using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "egsakash/kaksha-mitra:06df96ee1a9d20644c76e685cc65ee7e81b5d86c9833d13284aa640d9a2f2b93",
    input={
        "debug": False,
        "top_k": -1,
        "top_p": 0.95,
        "temperature": 0.7,
        "system_prompt": "You are a helpful, respectful and honest assistant.",
        "max_new_tokens": 128,
        "min_new_tokens": -1,
        "repetition_penalty": 1.15
    }
)

# The egsakash/kaksha-mitra model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/egsakash/kaksha-mitra/api#output-schema
    print(item, end="")

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 egsakash/kaksha-mitra 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": "egsakash/kaksha-mitra:06df96ee1a9d20644c76e685cc65ee7e81b5d86c9833d13284aa640d9a2f2b93",
    "input": {
      "debug": false,
      "top_k": -1,
      "top_p": 0.95,
      "temperature": 0.7,
      "system_prompt": "You are a helpful, respectful and honest assistant.",
      "max_new_tokens": 128,
      "min_new_tokens": -1,
      "repetition_penalty": 1.15
    }
  }' \
  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 L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.