Description
This pretrained pipeline is built on the top of xlm_roberta_large_token_classifier_conll03_de model.
Predicted Entities
How to use
pipeline = PretrainedPipeline("xlm_roberta_large_token_classifier_conll03_pipeline", lang = "de")
pipeline.annotate("Ibser begann seine Karriere beim ASK Ebreichsdorf. 2004 wechselte er zu Admira Wacker Mödling, wo er auch in der Akademie spielte.")
val pipeline = new PretrainedPipeline("xlm_roberta_large_token_classifier_conll03_pipeline", lang = "de")
pipeline.annotate("Ibser begann seine Karriere beim ASK Ebreichsdorf. 2004 wechselte er zu Admira Wacker Mödling, wo er auch in der Akademie spielte.")
Results
Results
+----------------------+---------+
|chunk |ner_label|
+----------------------+---------+
|Ibser |PER |
|ASK Ebreichsdorf |ORG |
|Admira Wacker Mödling |ORG |
+----------------------+---------+
{:.model-param}
Model Information
| Model Name: | xlm_roberta_large_token_classifier_conll03_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | de |
| Size: | 1.8 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- XlmRoBertaForTokenClassification
- NerConverter
- Finisher