HomeModelsToken Classificationd4data/biomedical-ner-all
B

d4data/biomedical-ner-all

Token Classification·d4data· 228.9K· 194
transformers apache-2.0 Token Classification 66.4M params license:apache-2.0deploy:azureregion:us

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 distilbert-base-uncased

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull d4data/biomedical-ner-all

Model details

Task
Token Classification
Provider
d4data
Framework
transformers
Parameters
66.4M
Size
1014 MB
License
apache-2.0
Downloads
228.9K
Likes
194
Updated
2023-07-02

About d4data/biomedical-ner-all

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 distilbert-base-uncased

Related Token Classification

I w11wo/indonesian-roberta-base-posp-tagger Token Classification ·124.1M params 2.8M 10 🤗 HF B dslim/bert-base-NER Token Classification ·108.3M params 1.8M 718 🤗 HF S StanfordAIMI/stanford-deidentifier-base Token Classification 1.3M 81 🤗 HF W Babelscape/wikineural-multilingual-ner Token Classification ·177.3M params 889.1K 165 🤗 HF F oliverguhr/fullstop-punctuation-multilang-large Token Classification 648.8K 178 🤗 HF X Davlan/xlm-roberta-large-ner-hrl Token Classification ·558.9M params 639.9K 15 🤗 HF

Browse all Token Classification models →