Prediction

nateraw/stablecode-completion-alpha-3b-4k:e82ebe958f0a5be6846d1a82041925767edb1d1f162596c643e48fbea332b1bb

Model

nateraw/stablecode-completion-alpha-3b-4k:e82ebe95

jcjdac3b7qfbnw4dre7paqnkm4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

Created

about 2 years ago

Input

top_k: 50
top_p: 0.95
message: import pandas as pd df =
temperature: 0.8
max_new_tokens: 128

{
  "top_k": 50,
  "top_p": 0.95,
  "message": "import pandas as pd\n\ndf = ",
  "temperature": 0.8,
  "max_new_tokens": 128
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run nateraw/stablecode-completion-alpha-3b-4k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nateraw/stablecode-completion-alpha-3b-4k:e82ebe958f0a5be6846d1a82041925767edb1d1f162596c643e48fbea332b1bb",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      message: "import pandas as pd\n\ndf = ",
      temperature: 0.8,
      max_new_tokens: 128
    }
  }
);

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

Import the client:

import replicate

Run nateraw/stablecode-completion-alpha-3b-4k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nateraw/stablecode-completion-alpha-3b-4k:e82ebe958f0a5be6846d1a82041925767edb1d1f162596c643e48fbea332b1bb",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "message": "import pandas as pd\n\ndf = ",
        "temperature": 0.8,
        "max_new_tokens": 128
    }
)

# The nateraw/stablecode-completion-alpha-3b-4k 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/nateraw/stablecode-completion-alpha-3b-4k/api#output-schema
    print(item, end="")

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

Run nateraw/stablecode-completion-alpha-3b-4k 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": "nateraw/stablecode-completion-alpha-3b-4k:e82ebe958f0a5be6846d1a82041925767edb1d1f162596c643e48fbea332b1bb",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "message": "import pandas as pd\\n\\ndf = ",
      "temperature": 0.8,
      "max_new_tokens": 128
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

pd.DataFrame( { 'col1': ['a', 'b', 'c'], 'col2': [1, 2, 3], } ) print(df)

Generated in

4.1 seconds

Tweak it Iterate in playground Share Report

Want to make some of these yourself?

Run this model