Description
This pretrained pipeline is built on xlm_roberta_large_token_classifier_masakhaner ner model which is imported from HuggingFace.
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How to use
masakhaner_pipeline = PretrainedPipeline("xlm_roberta_large_token_classifier_masakhaner_pipeline", lang = "xx")
masakhaner_pipeline.annotate("አህመድ ቫንዳ ከ3-10-2000 ጀምሮ በአዲስ አበባ ኖሯል።")
val masakhaner_pipeline = new PretrainedPipeline("xlm_roberta_large_token_classifier_masakhaner_pipeline", lang = "xx")
val masakhaner_pipeline.annotate("አህመድ ቫንዳ ከ3-10-2000 ጀምሮ በአዲስ አበባ ኖሯል።")
Results
+----------------+---------+
|chunk |ner_label|
+----------------+---------+
|አህመድ ቫንዳ |PER |
|ከ3-10-2000 ጀምሮ|DATE |
|በአዲስ አበባ |LOC |
+----------------+---------+
Model Information
| Model Name: | xlm_roberta_large_token_classifier_masakhaner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 3.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 1.8 GB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- XlmRoBertaForTokenClassification
- NerConverter
- Finisher