Description
This pretrained pipeline is built on the top of distilbert_base_token_classifier_masakhaner model.
Predicted Entities
How to use
masakhaner_pipeline = PretrainedPipeline("distilbert_base_token_classifier_masakhaner_pipeline", lang = "xx")
masakhaner_pipeline.annotate("Ilé-iṣẹ́ẹ Mohammed Sani Musa, Activate Technologies Limited, ni ó kó ẹ̀rọ Ìwé-pélébé Ìdìbò Alálòpẹ́ (PVCs) tí a lò fún ìbò ọdún-un 2019, ígbà tí ó jẹ́ òǹdíjedupò lábẹ́ ẹgbẹ́ olóṣèlúu tí ó ń tukọ̀ ètò ìṣèlú lọ́wọ́ All rogressives Congress (APC) fún Aṣojú Ìlà-Oòrùn Niger, ìyẹn gẹ́gẹ́ bí ilé iṣẹ́ aṣèwádìí, Premium Times ṣe tẹ̀ ẹ́ jáde.")
val masakhaner_pipeline = new PretrainedPipeline("distilbert_base_token_classifier_masakhaner_pipeline", lang = "xx")
masakhaner_pipeline.annotate("Ilé-iṣẹ́ẹ Mohammed Sani Musa, Activate Technologies Limited, ni ó kó ẹ̀rọ Ìwé-pélébé Ìdìbò Alálòpẹ́ (PVCs) tí a lò fún ìbò ọdún-un 2019, ígbà tí ó jẹ́ òǹdíjedupò lábẹ́ ẹgbẹ́ olóṣèlúu tí ó ń tukọ̀ ètò ìṣèlú lọ́wọ́ All rogressives Congress (APC) fún Aṣojú Ìlà-Oòrùn Niger, ìyẹn gẹ́gẹ́ bí ilé iṣẹ́ aṣèwádìí, Premium Times ṣe tẹ̀ ẹ́ jáde.")
Results
Results
+-----------------------------+---------+
|chunk |ner_label|
+-----------------------------+---------+
|Mohammed Sani Musa |PER |
|Activate Technologies Limited|ORG |
|ọdún-un 2019 |DATE |
|All rogressives Congress |ORG |
|APC |ORG |
|Aṣojú Ìlà-Oòrùn Niger |LOC |
|Premium Times |ORG |
+-----------------------------+---------+
{:.model-param}
Model Information
| Model Name: | distilbert_base_token_classifier_masakhaner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 505.8 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- DistilBertForTokenClassification
- NerConverter
- Finisher