codewithkyrian/transformers
A Laravel-friendly transformers package for turning models, arrays, and API responses into consistent, reusable output. Define transformer classes, map fields, nest relations, and format data cleanly for JSON APIs, with minimal boilerplate and flexible customization.
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.6.1...0.6.2
MaxLength, MaxTime, and Interruptable for more flexible generation control.PretrainedConfig to reduce code repetition across model files and improve maintainability.AutoModel resolution to prioritize generic model selection when no task-specific class is found.Gemma, Gemma2, Gemma3, Qwen3, and Phi3, with their respective causal language models.eos and last_token pooling strategies in the FeatureExtractionPipeline.BPEModel with better compatibility via JSON-encoded token pair mapping.PretrainedModel::$sessions array to streamline model session handling across subclasses.Tensor::slice() error during generation.RepetitionPenaltyLogitsProcessor to properly apply penalties based on generated tokens.HubTest for Windows paths by using DIRECTORY_SEPARATOR.BPEModel when null value encountered in merge map.Refactor library architecture for improved platform compatibility and modularity.
Refactor Samplerate, Sndfile, and other FFI wrappers to use instance-based invocation.
Improve generation configuration merging logic and model resolution flow.
Unify code style across components and improve clarity of core components.
Update shared native dependencies:
Clean up feature extractors and consolidate model session logic.
Improve error handling in FFI calls and utility classes.
Rename internal config and model mapping classes for better clarity (PretrainedMixin → AutoModelBase, etc.)
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.5.3...0.6.0
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.6.0...0.6.1
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.3...0.4.4
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.2...0.4.3
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.1...0.4.2
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.4.0...0.4.1
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.3.0...0.3.1
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.2.2...0.3.0
Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.2.1...0.2.2
PretrainedModel on case-sensitive operating systems by @CodeWithKyrian in https://github.com/CodeWithKyrian/transformers-php/pull/4Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.1.0...0.2.0
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.
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
For a comprehensive guide on how to use Transformers PHP, including detailed examples and configuration options, visit our documentation.
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>
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.
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.
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.
WordPieceTokenizer on case-sensitive operating systems in https://github.com/CodeWithKyrian/transformers-php/commit/0f1fc8bda91fb3df9492057a4224b171d2e3f2d5Full Changelog: https://github.com/CodeWithKyrian/transformers-php/compare/0.2.0...0.2.1
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 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.
$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, ..."
// ]
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
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