AllMiniLmL6V2Sharp

C# implementation of Sentence Transformers All-MiniLM-L6-v2

Use as a .net standard 2.1 library.

Includes tokenizer and onnx model.

Nuget

AllMiniLML6v2Sharp

The Nuget does not include the onnx model or the vocab.txt. These can be found on Hugging Face (See tested models below). The Embedder looks for the default model.onnx and vocab.txt files in the .\model folder. You may use a custom onnx model or custom vocab as well.

How to use

• Single Sentence

var sentence = "This is an example sentence";
using var embedder = new AllMiniLmL6V2Embedder();
var embedding = embedder.GenerateEmbedding(sentence);

• Multiple Sentences

string[] sentences = ["This is an example sentence", "Here is another"];
using var embedder = new AllMiniLmL6V2Embedder();
var embeddings = model.GenerateEmbeddings(sentences);

• Custom All-MiniLM-L6-v2 onnx model

var sentence = "This is an example sentence";
using var embedder = new AllMiniLmL6V2Embedder(modelPath: "path/to/model.onnx");
var embedding = embedder.GenerateEmbedding(sentence);

• Custom vocab

var sentence = "This is an example sentence";
BertTokenizer tokenizer = new("path/to/vocab.txt");
using var embedder = new AllMiniLmL6V2Embedder(tokenizer: tokenizer);
var embedding = embedder.GenerateEmbedding(sentence);

• Custom Tokenizer

var sentence = "This is an example sentence";
ITokenizer tokenizer = new CustomTokenizer();
using var embedder = new AllMiniLmL6V2Embedder(tokenizer: tokenizer);
var embedding = embedder.GenerateEmbedding(sentence);

Tested Models

• all-MiniLM-L6-v2
• all-MiniLM-L12-v2