Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_ukrainian_ner_ukrner_pipeline is a Ukrainian model originally trained by EvanD.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_ukrainian_ner_ukrner_pipeline", lang = "uk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_ukrainian_ner_ukrner_pipeline", lang = "uk")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_ukrainian_ner_ukrner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uk |
| Size: | 785.4 MB |
References
https://huggingface.co/EvanD/xlm-roberta-base-ukrainian-ner-ukrner
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification