Prediction

Model

lucataco/siglip:a39b979e

ds46zcwrzdrg80chvn6rgkqzcw

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

75.0s

Created

about 1 year ago by nielsrolf

Webhook

–

Input

image: https://replicate.delivery/pbxt/LbHQlTb3u5P9QgUPy2BfOVuVwYgX96cZmGaWrnJfLe76BfKm/image.png
candidate_labels: red cube next to blue sphere, blue cube next to red sphere

{
  "candidate_labels": "red cube next to blue sphere, blue cube next to red sphere",
  "image": "https://replicate.delivery/pbxt/LbHQlTb3u5P9QgUPy2BfOVuVwYgX96cZmGaWrnJfLe76BfKm/image.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_a6o**********************************

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 lucataco/siglip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/siglip:a39b979e4671e037ad90662ba6bd9377cbf0508083f2877b06e3f3850b8c8fa6",
  {
    input: {
      candidate_labels: "red cube next to blue sphere, blue cube next to red sphere",
      image: "https://replicate.delivery/pbxt/LbHQlTb3u5P9QgUPy2BfOVuVwYgX96cZmGaWrnJfLe76BfKm/image.png"
    }
  }
);

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_a6o**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/siglip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/siglip:a39b979e4671e037ad90662ba6bd9377cbf0508083f2877b06e3f3850b8c8fa6",
    input={
        "candidate_labels": "red cube next to blue sphere, blue cube next to red sphere",
        "image": "https://replicate.delivery/pbxt/LbHQlTb3u5P9QgUPy2BfOVuVwYgX96cZmGaWrnJfLe76BfKm/image.png"
    }
)

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=r8_a6o**********************************

This is your API token. Keep it to yourself.

Run lucataco/siglip 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": "lucataco/siglip:a39b979e4671e037ad90662ba6bd9377cbf0508083f2877b06e3f3850b8c8fa6",
    "input": {
      "candidate_labels": "red cube next to blue sphere, blue cube next to red sphere",
      "image": "https://replicate.delivery/pbxt/LbHQlTb3u5P9QgUPy2BfOVuVwYgX96cZmGaWrnJfLe76BfKm/image.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[{'score': 1.0, 'label': ' blue cube next to red sphere'}, {'score': 1.0, 'label': 'red cube next to blue sphere'}]

Generated in

1.0 second

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