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clip-vit-base-patch16

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Hi there,

We've packaged this model inside our open-source library WebAI.js, so you can now integrate it into your project with just a few lines of code:

import { WebAI } from '@axols/webai-js';

const webai = await WebAI.create({
   modelId: "clip-vit-base-patch16"
});


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await webai.init({
  mode: "webai",
  precision: "fp32",
  device: "webgpu"
});

const generation = await webai.generate({
  userInput: {
    image_blob_url: "blob:https://www.webai-js.com/e9eb8fa3-c15f-444a-91ec-63802d8e47b0",
    classLabels: [
      "person",
      "car",
      "tree"
    ]
  },
  modelConfig: {},
  generateConfig: {}
});

🔬 Try CLIP Base (ViT-B/16) Instantly (No Code Required)

You can benchmark and test the model directly here:
https://www.webai-js.com/models/clip-vit-base-patch16/playground

📘 Full API Reference

Detailed parameter explanations can be found here:
https://www.webai-js.com/models/clip-vit-base-patch16/api-reference/v1/class-api/methods/webai-generate

🧡 Fully Open Source

WebAI.js is completely open source and free to use.
Star or contribute on GitHub:
https://github.com/axolsai/webai-js

Thanks