Description
This pretrained pipeline is built on the top of roberta_large_token_classifier_conll03 model.
How to use
pipeline = PretrainedPipeline("roberta_large_token_classifier_conll03_pipeline", lang = "en")
pipeline.annotate("My name is John and I work at John Snow Labs.")
val pipeline = new PretrainedPipeline("roberta_large_token_classifier_conll03_pipeline", lang = "en")
pipeline.annotate("My name is John and I work at John Snow Labs."))
Results
+--------------+---------+
|chunk |ner_label|
+--------------+---------+
|John |PERSON |
|John Snow Labs|ORG |
+--------------+---------+
Model Information
| Model Name: | roberta_large_token_classifier_conll03_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 3.4.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- RoBertaForTokenClassification
- NerConverter
- Finisher