import { pipeline, cos_sim } from "@huggingface/transformers";

// Create an image feature extraction pipeline
const extractor = await pipeline(
  "image-feature-extraction",
  "onnx-community/ijepa_vith16_1k",
  { dtype: "q8" },
);

// Compute image embeddings
const url_1 = "http://images.cocodataset.org/val2017/000000039769.jpg"
const url_2 = "http://images.cocodataset.org/val2017/000000219578.jpg"
const output = await extractor([url_1, url_2]);
const pooled_output = output.mean(1); // Apply mean pooling

// Compute cosine similarity
const similarity = cos_sim(pooled_output[0].data, pooled_output[1].data);
console.log(similarity); // 0.5334921616321957