Prediction

Model

fofr/prompt-classifier:1ffac777

rgvlpudbjwcyhwzwmjszt5dwku

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

0.4s

Created

over 2 years ago by fofr

Webhook

–

Input

prompt: [PROMPT] a photo of a cat [/PROMPT] [SAFETY_RANKING]
max_new_tokens: 128
min_new_tokens: -1
temperature: 0.75
top_p: 0.9
top_k: 50
stop_sequences: [/SAFETY_RANKING]
debug: false

{
  "debug": false,
  "max_new_tokens": 128,
  "min_new_tokens": -1,
  "prompt": "[PROMPT] a photo of a cat [/PROMPT] [SAFETY_RANKING]",
  "stop_sequences": "[/SAFETY_RANKING]",
  "temperature": 0.75,
  "top_k": 50,
  "top_p": 0.9
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_egC**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/prompt-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/prompt-classifier:1ffac777bf2c1f5a4a5073faf389fefe59a8b9326b3ca329e9d576cce658a00f",
  {
    input: {
      debug: false,
      max_new_tokens: 128,
      min_new_tokens: -1,
      prompt: "[PROMPT] a photo of a cat [/PROMPT] [SAFETY_RANKING]",
      stop_sequences: "[/SAFETY_RANKING]",
      temperature: 0.75,
      top_k: 50,
      top_p: 0.9
    }
  }
);

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=r8_egC**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run fofr/prompt-classifier using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/prompt-classifier:1ffac777bf2c1f5a4a5073faf389fefe59a8b9326b3ca329e9d576cce658a00f",
    input={
        "debug": False,
        "max_new_tokens": 128,
        "min_new_tokens": -1,
        "prompt": "[PROMPT] a photo of a cat [/PROMPT] [SAFETY_RANKING]",
        "stop_sequences": "[/SAFETY_RANKING]",
        "temperature": 0.75,
        "top_k": 50,
        "top_p": 0.9
    }
)

# The fofr/prompt-classifier 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/fofr/prompt-classifier/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=r8_egC**********************************

This is your API token. Keep it to yourself.

Run fofr/prompt-classifier 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": "fofr/prompt-classifier:1ffac777bf2c1f5a4a5073faf389fefe59a8b9326b3ca329e9d576cce658a00f",
    "input": {
      "debug": false,
      "max_new_tokens": 128,
      "min_new_tokens": -1,
      "prompt": "[PROMPT] a photo of a cat [/PROMPT] [SAFETY_RANKING]",
      "stop_sequences": "[/SAFETY_RANKING]",
      "temperature": 0.75,
      "top_k": 50,
      "top_p": 0.9
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

0.4 seconds

Tweak it Report