chenxwh/deepseek-vl2:035d8498 | Run with an API on Replicate

Version

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chenxwh /deepseek-vl2:035d8498

Playground API

Input

text

string

Shift + Return to add a new line

Input text.

Default: "Describe this image."

image1

*file

First image

image2

file

Optional, second image for multiple images image2text

image3

file

Optional, third image for multiple images image2text

max_new_tokens

integer

(minimum: 0, maximum: 4096)

The maximum numbers of tokens to generate

Default: 2048

temperature

number

The value used to modulate the probabilities of the next token. Set the temperature to 0 for deterministic generation

Default: 0.1

top_p

number

If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to top_p or higher are kept for generation.

Default: 0.9

repetition_penalty

number

(minimum: 0, maximum: 2)

Repetition penalty

Default: 1.1

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

npx create-replicate --model=chenxwh/deepseek-vl2

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 chenxwh/deepseek-vl2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/deepseek-vl2:035d849860bd732de354094e4e11b2170ea5ef70538416461f65ede8dcf41dbf",
  {
    input: {
      text: "Describe this image.",
      top_p: 0.9,
      temperature: 0.1,
      max_new_tokens: 2048,
      repetition_penalty: 1.1
    }
  }
);

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 chenxwh/deepseek-vl2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/deepseek-vl2:035d849860bd732de354094e4e11b2170ea5ef70538416461f65ede8dcf41dbf",
    input={
        "text": "Describe this image.",
        "top_p": 0.9,
        "temperature": 0.1,
        "max_new_tokens": 2048,
        "repetition_penalty": 1.1
    }
)
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 chenxwh/deepseek-vl2 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": "chenxwh/deepseek-vl2:035d849860bd732de354094e4e11b2170ea5ef70538416461f65ede8dcf41dbf",
    "input": {
      "text": "Describe this image.",
      "top_p": 0.9,
      "temperature": 0.1,
      "max_new_tokens": 2048,
      "repetition_penalty": 1.1
    }
  }' \
  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.