Description
This pretrained pipeline is built on the top of bert_token_classifier_ner_bacteria model.
How to use
pipeline = PretrainedPipeline("bert_token_classifier_ner_bacteria_pipeline", "en", "clinical/models")
pipeline.annotate("Based on these genetic and phenotypic properties, we propose that strain SMSP (T) represents a novel species of the genus Methanoregula, for which we propose the name Methanoregula formicica sp. nov., with the type strain SMSP (T) (= NBRC 105244 (T) = DSM 22288 (T)).")
val pipeline = new PretrainedPipeline("bert_token_classifier_ner_bacteria_pipeline", "en", "clinical/models")
pipeline.annotate("Based on these genetic and phenotypic properties, we propose that strain SMSP (T) represents a novel species of the genus Methanoregula, for which we propose the name Methanoregula formicica sp. nov., with the type strain SMSP (T) (= NBRC 105244 (T) = DSM 22288 (T)).")
import nlu
nlu.load("en.classify.token_bert.bacteria_ner.pipeline").predict("""Based on these genetic and phenotypic properties, we propose that strain SMSP (T) represents a novel species of the genus Methanoregula, for which we propose the name Methanoregula formicica sp. nov., with the type strain SMSP (T) (= NBRC 105244 (T) = DSM 22288 (T)).""")
Results
+-----------------------+---------+
|chunk |ner_label|
+-----------------------+---------+
|SMSP (T) |SPECIES |
|Methanoregula formicica|SPECIES |
|SMSP (T) |SPECIES |
+-----------------------+---------+
Model Information
| Model Name: | bert_token_classifier_ner_bacteria_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 404.7 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- MedicalBertForTokenClassifier
- NerConverter