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Example code of textualization/sentence-transphormers

Informations about the package sentence-transphormers

Compute RoBERTa sentence embeddings in PHP using ONNX framework.

This brings the power of Sentence Transformers to the PHP world.

Installation

Add this project to your dependencies

Before using it, you will need to install the ONNX framework:

and download the Distill RoBERTa v1 ONNX model (this takes a while, the model is 362Mb in size):

Multilingual model

To use the multilingual model. Additional dependencies are needed.

Download the SentencePiece library:

Download the XLM Tokenizer SentencePiece BPE model:

Download the Multilingual-E5-small model (471Mb in size):

Please note: if you had downloaded the monolingual model you'll need to delete it first. Currently only one model is possible, this limitation will be lifted in future versions.

Computing embeddings

Check \Textualization\Ropherta\Distances to check whether two embeddings are closer to each other.

Model employed

The model being used is an ONNX export from sentence-transformers/all-distilroberta-v1, hosted at HuggingFace Hub: textualization/all-distilroberta-v1.

The multilingual model is intfloat/multilingual-e5-small, exported to ONNX by the authors.

All versions of sentence-transphormers with dependencies

PHP Build Version
Package Version
Requires ankane/onnxruntime Version v0.1.7
textualization/ropherta Version v0.0.11
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