
Named Entity Recognition (NER) model to recognize variant entities. Here variant entity is a DNA-level or protein-level mutation as defined by the [Human Genome Variation Society nomenclature](http://varnomen.hgvs.org/). 

[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following datasets:
- [tmVar](https://www.ncbi.nlm.nih.gov/research/bionlp/Data/): entity types "DNAMutation", "ProteinMutation", "SNP"
- [PGxCorpus](https://www.nature.com/articles/s41597-019-0342-9): entity type "Limited_variation"
- [SNPPhenA](https://figshare.com/s/f19191317056d6835b38): entity type "SNP"
{"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 variant entities. Here variant entity is a DNA-level or protein-level mutation as defined by the Human Genome Variation Society nomenclature. 

PubMedBERT fine-tuned on the following datasets:
- tmVar: entity types "DNAMutation", "ProteinMutation", "SNP"
- PGxCorpus: entity type "Limited_variation"
- SNPPhenA: entity type "SNP"
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 
