Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmroberta_ner_xlm_roberta_base_turkish_ner_pipeline is a Turkish model originally trained by akdeniz27.
How to use
pipeline = PretrainedPipeline("xlmroberta_ner_xlm_roberta_base_turkish_ner_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmroberta_ner_xlm_roberta_base_turkish_ner_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmroberta_ner_xlm_roberta_base_turkish_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 851.0 MB |
References
https://huggingface.co/akdeniz27/xlm-roberta-base-turkish-ner
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification