Cancer Registry Pipeline

Description

run the pipeline

Copy S3 URI

How to use

from sparknlp.pretrained import PretrainedPipeline

pipeline = PretrainedPipeline("ner_cancer_registry_pipeline", "en", "clinical/models")

Model Information

Model Name: ner_cancer_registry_pipeline
Type: pipeline
Compatibility: Healthcare NLP 6.4.0+
License: Licensed
Edition: Official
Language: en
Size: 1.7 GB

Included Models

  • DocumentAssembler
  • SentenceDetectorDLModel
  • TokenizerModel
  • WordEmbeddingsModel
  • MedicalNerModel
  • NerConverter