kcaverly/deepseek-coder-6.7b-instruct:4d38f86e – Run with an API on Replicate

Version

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kcaverly /deepseek-coder-6.7b-instruct:4d38f86e

Playground API

Input

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

npx create-replicate --model=kcaverly/deepseek-coder-6.7b-instruct

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 kcaverly/deepseek-coder-6.7b-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kcaverly/deepseek-coder-6.7b-instruct:4d38f86e1a3091b3a54b76333040315134dd57070d28397f378857b254ae1590",
  {
    input: {
      do_sample: false,
      max_new_tokens: 512,
      num_return_sequences: 1
    }
  }
);

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 kcaverly/deepseek-coder-6.7b-instruct using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kcaverly/deepseek-coder-6.7b-instruct:4d38f86e1a3091b3a54b76333040315134dd57070d28397f378857b254ae1590",
    input={
        "do_sample": False,
        "max_new_tokens": 512,
        "num_return_sequences": 1
    }
)

# The kcaverly/deepseek-coder-6.7b-instruct 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/kcaverly/deepseek-coder-6.7b-instruct/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 kcaverly/deepseek-coder-6.7b-instruct 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": "4d38f86e1a3091b3a54b76333040315134dd57070d28397f378857b254ae1590",
    "input": {
      "do_sample": false,
      "max_new_tokens": 512,
      "num_return_sequences": 1
    }
  }' \
  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.