TransformersPHP provides PHP developers with a toolkit to integrate state-of-the-art machine learning models into their applications. It offers a familiar API, mirroring Python's Hugging Face Transformers library, enabling tasks like text generation, summarization, and translation.

How It Works

This library leverages ONNX Runtime for high-performance model execution, allowing PHP applications to utilize models converted from PyTorch or TensorFlow via 🤗 Optimum. It features a high-level pipeline API that abstracts away preprocessing and postprocessing steps, simplifying model integration.

Quick Start & Requirements

• Install via Composer: composer require codewithkyrian/transformers
• Requires PHP FFI extension (enabled by default in PHP 7.4+). Ensure extension=ffi and ffi.enable=true are set in php.ini.
• ONNX Runtime is platform-specific; install within your target environment (e.g., Docker container).
• Documentation: https://codewithkyrian.github.io/transformers-php

Highlighted Details

• Functionally equivalent API to Python's Hugging Face Transformers.
• Supports a wide range of NLP tasks and several vision tasks.
• Models are automatically downloaded from Hugging Face or can be pre-downloaded via CLI.
• Configurable cache directory, remote host, authentication tokens, and image drivers.

Maintenance & Community

• Project appears to be actively developed by CodeWithKyrian.
• No explicit community links (Discord/Slack) or roadmap are provided in the README.

Licensing & Compatibility

• The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

• The library is marked as a "Work In Progress" (WIP), with several tasks listed as unsupported (e.g., Table QA, Depth Estimation, most Audio tasks).
• Model conversion to ONNX is a prerequisite for custom models.
• No license information is provided, which may impact commercial adoption.