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Changelog

All notable changes to transformers-php will be documented in this file.

TransformersPHP v0.5.3 - 2024-09-27

This release brings new features, critical bug fixes, and improvements to enhance the functionality and performance of the package. Below is a summary of the changes.

What's New

Bug Fixes

Improvements

I encourage everyone to update to this latest version and explore the new features. As always, feel free to report any issues or contribute to the project.

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.5.2...0.5.3

TransformersPHP v0.5.2 - 2024-08-29

What's Changed

New Contributors

  • @timwhitlock made their first contribution in #65

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.5.1...0.5.2

TransformersPHP v0.5.1 - 2024-08-24

What's new

  • Tensor Operations: magnitude, sqrt and cosSimilarity added.
  • Vips Binaries: - Vips binaries are now bundled by default, eliminating need to modify anything on the system to use libvips.

Bug Fixes

  • Error Handling: - Adjusted error level to a warning for unknown model types, providing clearer feedback without interrupting the workflow.

Reversions

  • Dependencies: Reverted rokka/vips from dev back to normal dependencies. Since vips binaries are bundled by default, use of vips is now encouraged.

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.5.0...0.5.1

TransformersPHP v0.5.0 - 2024-08-21

I'm excited to announce the latest version of TransformersPHP, packed with new features, improvements, and bug fixes. This release brings powerful enhancements to your machine-learning-driven PHP applications, enabling more efficient and versatile operations.

New Features

  • New Pipeline: Audio Classification - Easily classify audio clips with a pre-trained model.

    $classifier = pipeline('audio-classification', 'Xenova/ast-finetuned-audioset-10-10-0.4593');
$audioUrl = __DIR__ . '/../sounds/cat_meow.wav';
$output = $classifier($audioUrl);
// [
//   [
//     "label" => "Meow"
//     "score" => 0.6109990477562
//   ]
// ]

  • New Pipeline: Automatic Speech Recognition (ASR) - Supports models like wav2vec and whisper for transcribing speech to text. If a specific model is not officially supported, please open an issue with a feature request.

    • Example: 
      $transcriber = pipeline('asr', 'Xenova/whisper-tiny.en');
$audioUrl = __DIR__ . '/../sounds/preamble.wav';
$output = $transcriber($audioUrl, maxNewTokens: 256);
// [
//   "text" => "We, the people of the United States, ..."
// ]

Enhancements

  • Shared Libraries Dependencies: - A revamped workflow for downloading shared libraries dependencies ensures they are versioned correctly, reducing download sizes. These binaries are now thoroughly tested on Apple Silicon, Intel Macs, Linux x86_64, Linux aarch64, and Windows platforms.

  • Transformers::setup Simplified - Transformers::setup() is now optional. Default settings are automatically applied if not called. The apply() method is no longer necessary, but still available for backward compatibility.

  • Immutable Image Utility - The Image utility class is now immutable. Each operation returns a new instance, allowing for method chaining and a more predictable workflow.

    $image = Image::read($url);
$resizedImage = $image->resize(100, 100);
// $image remains unchanged

  • New Tensor Operations - New operations were added: copyTo, log, exp, pow, sum, reciprocal, stdMean. Additionally, overall performance improvements have been made to Tensor operations.

  • TextStreamer Improvements - TextStreamer now prints to stdout by default. You can override this behavior using the onStream(callable $callback) method. Consequently, the StdoutStreamer class is now obsolete.

  • VIPS PHP Driver Update - The VIPS PHP driver is no longer bundled by default in composer.json. Detailed documentation is provided for installing the Vips PHP driver and setting up Vips on your machine.

  • ONNX Runtime Upgrade - Upgraded to version 1.19.0, bringing more performance and compatibility with newer models.

  • Bug Fixes & Performance Improvements - Various bug fixes have been implemented to enhance stability and performance across the package.

I hope you enjoy these updates and improvements. If you encounter any issues or have any suggestions, please don’t hesitate to reach out through our Issue Tracker

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.4...0.5.0

v0.4.4 - 2024-08-14

What's Changed

  • feat: add optional host argument for model download by @k99k5 in #56

New Contributors

  • @k99k5 made their first contribution in #56

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.3...0.4.4

v0.4.3 - 2024-07-31

What's Changed

New Contributors

  • @BlackyDrum made their first contribution in #42

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.2...0.4.3

v0.4.2 - 2024-06-05

What's Changed

  • bugfix: Repository url resolution not working properly in Windows by @CodeWithKyrian in #41

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.1...0.4.2

v0.4.1 - 2024-05-24

What's Changed

  • configuration.md: fix indentation of Transformers::setup() by @k00ni in #35
  • PretrainedTokenizer::truncateHelper: prevent array_slice() error for flawed text input (summarization) by @k00ni in #36
  • Fix bug with Download CLI - use named parameters for model construct by @CodeWithKyrian in #39

New Contributors

  • @k00ni made their first contribution in #35

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.0...0.4.1

v0.3.1 - 2024-04-22

What's Changed

  • Add Qwen2 model support by @CodeWithKyrian in #20
  • Add chat input detection for text generation, and refactor streamer API. by @CodeWithKyrian in #21
  • bugfix: Fix error that occurs when streamer is not used by @CodeWithKyrian in #22
  • bugfix: Decoder sequence not calling the right method by @CodeWithKyrian in #23

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.3.0...0.3.1

v0.3.0 - 2024-04-13

What's Changed

  • Add Image Classification pipelines support by @CodeWithKyrian in #9
  • Add Zero shot Image Classification pipelines support by @CodeWithKyrian in #9
  • Add New Image Driver - VIPS by @CodeWithKyrian in #10
  • Add Object Detection Pipeline by @CodeWithKyrian in #11
  • Download ONNXRuntime automatically after composer install by @CodeWithKyrian in #12
  • Add Zero Shot Object Detection Pipeline and OwlVit models by @CodeWithKyrian in #14
  • Improve tensor performance by @CodeWithKyrian in #13
  • Set [MASK] usage in prompts for default Xenova/bert-base-uncased model by @takielias in #15
  • Add image feature extraction pipeline by @CodeWithKyrian in #16
  • Add image to image pipeline by @CodeWithKyrian in #17
  • bugfix: https slashes affected when joining paths by @CodeWithKyrian in #19

Breaking Changes

  • The install command no longer exists, as the required libraries are downloaded automatically on composer install.
  • New Image driver configuration settings added that required either GD, Imagick or Vips

New Contributors

  • @takielias made their first contribution in #15

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.2.2...0.3.0

v0.2.2 - 2024-03-25

What's new

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.2.1...0.2.2

v0.2.1 - 2024-03-22

What's Changed

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.2.0...0.2.1

v0.2.0 - 2024-03-21

What's Changed

Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.1.0...0.2.0

v0.1.0 - 2024-03-15

Initial Release 🎉

We are thrilled to announce the launch of Transformers PHP, a groundbreaking library that brings the power of state-of-the-art machine learning to the PHP community. Inspired by the HuggingFace Transformers and Xenova Transformers.js, Transformers PHP aims to provide an easy-to-use, high-performance toolset for developers looking to integrate advanced NLP, and in future updates potentially more, capabilities into their PHP applications.

Key Features:

  • Seamless Integration: Designed to be functionally equivalent to its Python counterpart, making the transition and usage straightforward for developers familiar with the original Transformers library.
  • Performance Optimized: Utilizes ONNX Runtime for efficient model inference, ensuring high performance even in demanding scenarios.
  • Comprehensive Model Support: Access to thousands of pre-trained models across 100+ languages, covering a wide range of tasks including text generation, summarization, translation, sentiment analysis, and more.
  • Easy Model Conversion: With 🤗 Optimum, easily convert PyTorch or TensorFlow models to ONNX format for use with Transformers PHP.
  • Developer Friendly: From installation to deployment, every aspect of Transformers PHP is designed with ease of use in mind, featuring extensive documentation and a streamlined API.

Getting Started:

Installation is a breeze with Composer:

composer require codewithkyrian/transformers

And you must initialize the library to download neccesary libraries for ONNX

./vendor/bin/transformers install

Checkout the Documentation

For a comprehensive guide on how to use Transformers PHP, including detailed examples and configuration options, visit our documentation.

Pre-Download Models:

To ensure a smooth user experience, especially with larger models, we recommend pre-downloading models before deployment. Transformers PHP includes a handy CLI tool for this purpose:

./vendor/bin/transformers download <model_identifier>

What's Next?

This initial release lays the groundwork for a versatile machine learning toolkit within the PHP ecosystem. We are committed to continuous improvement and expansion of Transformers PHP, with future updates aimed at increasing supported tasks, enhancing functionality, and broadening the scope of models.

Get Involved!

We encourage feedback, contributions, and discussions from the community. Whether you're reporting bugs, requesting features, or contributing code, your input is invaluable in making Transformers PHP better for everyone.

Acknowledgments:

A huge thank you to Hugging Face for their incredible work on the Transformers library, to Xenova for inspiring this package, and to the broader machine learning community for their ongoing research and contributions. Transformers PHP stands on the shoulders of giants, and we are excited to see how it will empower PHP developers to push the boundaries of what's possible.