Multilingual E5 Large
Microsoft E5 multilingual embedding model with 560M parameters, initialized from XLM-RoBERTa-large and trained with weakly supervised contrastive learning. Covers around 100 languages and returns 1024-dim vectors. It expects query: and passage: prefixes on inputs and is a popular open model for multilingual semantic search.
Multilingual E5 Large is embeddings AI model from huggingface, priced at €0.000 per 1M input tokens with a 512 tokens context window.
About this model
Pricing
API Integration
Use our OpenAI-compatible API to integrate Multilingual E5 Large into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
const vectors = await rw.run("multilingual-e5-large", "Hello world", { type: "embed" });
console.log(vectors[0].length); // embedding dimensions
// Or use the embed() method for full control
const res = await rw.embed("multilingual-e5-large", ["Hello", "World"]);
for (const item of res.data) {
console.log(item.embedding.length);
}Frequently asked questions
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