
Named Entity Recognition (NER) model to recognize cell type entities.

[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following dataset:
- [CRAFT](https://github.com/UCDenver-ccp/CRAFT/tree/master/concept-annotation): entity type "CL"
- [BioNLP13CG](): entity type "Cell"
- [JNLPBA](http://www.geniaproject.org/shared-tasks/bionlp-jnlpba-shared-task-2004): entity type "cell_type"
- [CellFinder](http://cellfinder.org/about/annotation/): entity type "CellType"
{"language": ["en"], "pipeline_tag": "token-classification"}
transformers pytorch bert token-classification en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #region-us 


Named Entity Recognition (NER) model to recognize cell type entities.

PubMedBERT fine-tuned on the following dataset:
- CRAFT: entity type "CL"
- [BioNLP13CG](): entity type "Cell"
- JNLPBA: entity type "cell_type"
- CellFinder: entity type "CellType"
TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #token-classification #en #autotrain_compatible #endpoints_compatible #region-us 
