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biomedbert-outcomes-ner
laiking/biomedbert-outcomes-ner
biomedbert-outcomes-ner is a token classification model from laiking. Use it when you need labels on individual words, such as names. It is set up for transformers.
BiomedNLP-BiomedBERT-base-uncased-abstract model finetuned for token classification of primary outcomes and secondary outcomes in clinical trials scientific articles sentences.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 12, 2023
- Updated
- Feb 2, 2025
- SHA
- 49ce6c6d
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Model card
From the Hugging Face model README
BiomedNLP-BiomedBERT-base-uncased-abstract model finetuned for token classification of primary outcomes and secondary outcomes in clinical trials scientific articles sentences.
Trained on A. Koroleva dataset of sentences extracted from clinical trials articles.
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Sep 12, 2023
- Updated
- Feb 2, 2025