Description
This pretrained pipeline is built on the top of xlm_roberta_token_classifier_ner_40_lang model.
Predicted Entities
How to use
pipeline = PretrainedPipeline("xlm_roberta_token_classifier_ner_40_lang_pipeline", lang = "xx")
pipeline.annotate(["My name is John and I work at John Snow Labs.", "انا اسمي احمد واعمل في ارامكو"])
val pipeline = new PretrainedPipeline("xlm_roberta_token_classifier_ner_40_lang_pipeline", lang = "xx")
pipeline.annotate(Array("My name is John and I work at John Snow Labs.", "انا اسمي احمد واعمل في ارامكو"))
Results
+--------------+---------+
|chunk |ner_label|
+--------------+---------+
|John |PER |
|John Snow Labs|ORG |
|احمد |PER |
|ارامكو |ORG |
+--------------+---------+
Model Information
| Model Name: | xlm_roberta_token_classifier_ner_40_lang_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.0.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 967.7 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- XlmRoBertaForTokenClassification
- NerConverter
- Finisher