Description
How to use
model = PretrainedPipeline("clinical_analysis","en","clinical/models")
val model = PipelineModel.pretrained("clinical_analysis","en","clinical/models")
Model Information
Name: | clinical_analysis |
Type: | PipelineModel |
Compatibility: | Spark NLP 2.4.0+ |
License: | Licensed |
Edition: | Official |
Language: | en |
Data Source
PREVIOUSClinical Ner Assertion
NEXTDetect Diseases