Biomedical NER (all entities)
Token-classification model from d4data that tags 84 biomedical entity types in clinical and medical text, including disease, sign, symptom, medication, dosage, lab value, body part and procedure. Trained on the Maccrobat clinical case corpus on a DistilBERT base, so it runs cheaply for high-volume tagging.
Biomedical NER (all entities) is text & chat AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.
About this model
0.7
Pricing
API Integration
Use our OpenAI-compatible API to integrate Biomedical NER (all entities) into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
// Simple — just pass a string
const reply = await rw.run("biomedical-ner-all", "Hello! What can you do?");
console.log(reply);
// With message history
const reply2 = await rw.run("biomedical-ner-all", [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);
// Full response with usage info
const res = await rw.chat("biomedical-ner-all", [
{ role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);Frequently asked questions
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