yunzai-cc/zoe-test | Run with an API on Replicate

yunzai-cc / zoe-test

(Updated 1 year, 10 months ago)

Cold

Public
14 runs
A100 (80GB)

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

Prompt to send to the model.

history

string

Shift + Return to add a new line

chat history

max_new_tokens

integer

(minimum: 1)

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

Default: 10

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: 0.75

top_p

number

(minimum: 0.01, maximum: 1)

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

Default: 0.9

top_k

integer

(minimum: 0)

When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens. Overrides top_p if set. Set to `0` to disable.

Default: 0

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1

is_stream

boolean

set stream repsonse

Default: false

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

npx create-replicate --model=yunzai-cc/zoe-test

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 yunzai-cc/zoe-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yunzai-cc/zoe-test:e66f6454cc17b712681cebe9d028a7448981939b5496ab51b75cff7955cd7116",
  {
    input: {
      top_k: 0,
      top_p: 0.9,
      is_stream: false,
      temperature: 0.75,
      max_new_tokens: 10,
      repetition_penalty: 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 yunzai-cc/zoe-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yunzai-cc/zoe-test:e66f6454cc17b712681cebe9d028a7448981939b5496ab51b75cff7955cd7116",
    input={
        "top_k": 0,
        "top_p": 0.9,
        "is_stream": False,
        "temperature": 0.75,
        "max_new_tokens": 10,
        "repetition_penalty": 1
    }
)

# The yunzai-cc/zoe-test 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/yunzai-cc/zoe-test/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 yunzai-cc/zoe-test 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": "yunzai-cc/zoe-test:e66f6454cc17b712681cebe9d028a7448981939b5496ab51b75cff7955cd7116",
    "input": {
      "top_k": 0,
      "top_p": 0.9,
      "is_stream": false,
      "temperature": 0.75,
      "max_new_tokens": 10,
      "repetition_penalty": 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.

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.