Description
This pretrained pipeline is built on the top of xlm_roberta_base_token_classifier_conll03 model.
Predicted Entities
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_token_classifier_conll03_pipeline", lang = "en")
pipeline.annotate("My name is John and I work at John Snow Labs.")
val pipeline = new PretrainedPipeline("xlm_roberta_base_token_classifier_conll03_pipeline", lang = "en")
pipeline.annotate("My name is John and I work at John Snow Labs.")
Results
Results
+--------------+---------+
|chunk |ner_label|
+--------------+---------+
|John |PERSON |
|John Snow Labs|ORG |
+--------------+---------+
{:.model-param}
Model Information
| Model Name: | xlm_roberta_base_token_classifier_conll03_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 851.9 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- XlmRoBertaForTokenClassification
- NerConverter
- Finisher
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