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2.1.0

xenova/transformers.js

版本发布时间: 2023-06-01 21:18:34

xenova/transformers.js最新发布版本:2.17.2(2024-05-29 22:36:30)

What's new?

Improved feature extraction pipeline for Embeddings

You can now perform feature extraction on models other than sentence-transformers! All you need to do is target a repo (and/or revision) that was exported with --task default. Also be sure to use the correct quantization for your use-case!

Example: Run feature extraction with bert-base-uncased (without pooling/normalization).

let extractor = await pipeline('feature-extraction', 'Xenova/bert-base-uncased', { revision: 'default' });
let result = await extractor('This is a simple test.');
console.log(result);
// Tensor {
//     type: 'float32',
//     data: Float32Array [0.05939924716949463, 0.021655935794115067, ...],
//     dims: [1, 8, 768]
// }

Example: Run feature extraction with bert-base-uncased (with pooling/normalization).

let extractor = await pipeline('feature-extraction', 'Xenova/bert-base-uncased', { revision: 'default' });
let result = await extractor('This is a simple test.', { pooling: 'mean', normalize: true });
console.log(result);
// Tensor {
//     type: 'float32',
//     data: Float32Array [0.03373778983950615, -0.010106077417731285, ...],
//     dims: [1, 768]
// }

Example: Calculating embeddings with sentence-transformers models.

let extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');
let result = await extractor('This is a simple test.', { pooling: 'mean', normalize: true });
console.log(result);
// Tensor {
//     type: 'float32',
//     data: Float32Array [0.09094982594251633, -0.014774246141314507, ...],
//     dims: [1, 384]
// }

This also means you can do things like semantic search directly in JavaScript/Typescript! Check out the Pinecone docs for an example app which uses Transformers.js!

Over 100 Transformers.js models on the hub!

We now have 109 models to choose from! Check them out at https://huggingface.co/models?other=transformers.js! If you'd like to contribute models (exported with Optimum), you can tag them with library_name: "transformers.js"! Let's make ML more web-friendly!

Misc

Full Changelog: https://github.com/xenova/transformers.js/compare/2.0.2...2.1.0

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