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);

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="")

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "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