PubMedBERT Embeddings (NeuML)
Sentence-transformers model fine-tuned from Microsoft PubMedBERT on PubMed title-abstract pairs by the NeuML team. Produces 768-dim sentence embeddings tuned for biomedical semantic search and similarity, and is the embedding backbone behind the paperai and txtai medical search tools.
PubMedBERT Embeddings (NeuML) 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 PubMedBERT Embeddings (NeuML) into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
const vectors = await rw.run("pubmedbert-base-embeddings", "Hello world", { type: "embed" });
console.log(vectors[0].length); // embedding dimensions
// Or use the embed() method for full control
const res = await rw.embed("pubmedbert-base-embeddings", ["Hello", "World"]);
for (const item of res.data) {
console.log(item.embedding.length);
}Frequently asked questions
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