neuralwork/mistral-stylist:59e70e91 | Run with an API on Replicate

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neuralwork /mistral-stylist:59e70e91

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt to send to the model.

event

*string

Event type.

max_new_tokens

integer

(minimum: 1)

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 1500

min_new_tokens

integer

(minimum: -1)

Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.

Default: -1

temperature

number

(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.9

top_p

number

(minimum: 0, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 0.9

seed

integer

(minimum: 0, maximum: 1000)

Seed for reproducibility

Default: 0

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

npx create-replicate --model=neuralwork/mistral-stylist

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 neuralwork/mistral-stylist using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "neuralwork/mistral-stylist:59e70e910d84462326422b991e617f57e6946c19cdb42b8eabebf2d33b9e9f70",
  {
    input: {
      seed: 0,
      event: "nature retreat",
      top_p: 0.9,
      temperature: 0.9,
      max_new_tokens: 1500,
      min_new_tokens: -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 neuralwork/mistral-stylist using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "neuralwork/mistral-stylist:59e70e910d84462326422b991e617f57e6946c19cdb42b8eabebf2d33b9e9f70",
    input={
        "seed": 0,
        "event": "nature retreat",
        "top_p": 0.9,
        "temperature": 0.9,
        "max_new_tokens": 1500,
        "min_new_tokens": -1
    }
)

print(output)

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 neuralwork/mistral-stylist 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": "neuralwork/mistral-stylist:59e70e910d84462326422b991e617f57e6946c19cdb42b8eabebf2d33b9e9f70",
    "input": {
      "seed": 0,
      "event": "nature retreat",
      "top_p": 0.9,
      "temperature": 0.9,
      "max_new_tokens": 1500,
      "min_new_tokens": -1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/neuralwork/mistral-stylist@sha256:59e70e910d84462326422b991e617f57e6946c19cdb42b8eabebf2d33b9e9f70 \
  -i 'seed=0' \
  -i 'event="nature retreat"' \
  -i 'top_p=0.9' \
  -i 'temperature=0.9' \
  -i 'max_new_tokens=1500' \
  -i 'min_new_tokens=-1'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/neuralwork/mistral-stylist@sha256:59e70e910d84462326422b991e617f57e6946c19cdb42b8eabebf2d33b9e9f70
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 0,
      "event": "nature retreat",
      "top_p": 0.9,
      "temperature": 0.9,
      "max_new_tokens": 1500,
      "min_new_tokens": -1
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.