---
title: biomedical-ner-all
description: About the Model An English Named Entity Recognition model, trained on Maccrobat to recognize the bio-medical entities (107 entities) from a given text corpus (case reports etc.). This model was built on top of
tags:
- Token Classification
- biomedical
- co2_eq_emissions
- distilbert
- en
- nlp
- token-classification
license: apache-2.0
source_url: https://huggingface.co/d4data/biomedical-ner-all
---

# biomedical-ner-all

> **Mirrored metadata.** This card is reproduced on Atlas for discovery. The artifact itself is not hosted here — follow the source link for the files, and refer to the upstream licence for terms of use.

About the Model An English Named Entity Recognition model, trained on Maccrobat to recognize the bio-medical entities (107 entities) from a given text corpus (case reports etc.). This model was built on top of

Upstream identifier: `d4data/biomedical-ner-all`.

**Source:** https://huggingface.co/d4data/biomedical-ner-all

**Licence:** apache-2.0

_This model is part of the Atlas demo catalogue. See the repository history for provenance._