Description
This pretrained pipeline is built on the top of roberta_token_classifier_bne_capitel_ner_es model.
Predicted Entities
How to use
pipeline = PretrainedPipeline("roberta_token_classifier_bne_capitel_ner_pipeline", lang = "es")
pipeline.annotate("Me llamo Antonio y trabajo en la fábrica de Mercedes-Benz en Madrid.")
val pipeline = new PretrainedPipeline("roberta_token_classifier_bne_capitel_ner_pipeline", lang = "es")
pipeline.annotate("Me llamo Antonio y trabajo en la fábrica de Mercedes-Benz en Madrid.")
Results
+------------------------+---------+
|chunk |ner_label|
+------------------------+---------+
|Antonio |PER |
|fábrica de Mercedes-Benz|ORG |
|Madrid |LOC |
+------------------------+---------+
Model Information
| Model Name: | roberta_token_classifier_bne_capitel_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.0.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 459.4 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- RoBertaForTokenClassification
- NerConverter
- Finisher