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

[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following datasets:
- [CellFinder](http://cellfinder.org/about/annotation/): entity type "CellLine"
- [JNLPBA](http://www.geniaproject.org/genia-corpus/term-corpus): entity type "cell_line"
{"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 line entities.

PubMedBERT fine-tuned on the following datasets:
- CellFinder: entity type "CellLine"
- JNLPBA: entity type "cell_line"
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 
