Downloads · 30 days
8
0% of all-time downloads
BENT-PubMedBERT-NER-Cell-Component
pruas/BENT-PubMedBERT-NER-Cell-Component
BENT-PubMedBERT-NER-Cell-Component is a token classification model from pruas. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
Named Entity Recognition (NER) model to recognize cell component entities.
All-time downloads
3.8K
Public
Repo size
1.7 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.pt871 MB · 67%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 14, 2023
- Updated
- Mar 2, 2024
- SHA
- caa23046
Try a prompt
Model card
From the Hugging Face model README
Named Entity Recognition (NER) model to recognize cell component entities.
Please cite our work:
@article{NILNKER2022,
title = {NILINKER: Attention-based approach to NIL Entity Linking},
journal = {Journal of Biomedical Informatics},
volume = {132},
pages = {104137},
year = {2022},
issn = {1532-0464},
doi = {https://doi.org/10.1016/j.jbi.2022.104137},
url = {https://www.sciencedirect.com/science/article/pii/S1532046422001526},
author = {Pedro Ruas and Francisco M. Couto},
}
PubMedBERT fine-tuned on the following datasets:
- CRAFT: entity type "GO-CC"
- MLEE: entity type "Cellular_component"
- BioNLP13CG-cc
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 14, 2023
- Updated
- Mar 2, 2024