Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ukrainian_punctcase_pipeline is a Ukrainian model originally trained by ukr-models.
How to use
pipeline = PretrainedPipeline("ukrainian_punctcase_pipeline", lang = "uk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ukrainian_punctcase_pipeline", lang = "uk")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ukrainian_punctcase_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uk |
| Size: | 396.9 MB |
References
https://huggingface.co/ukr-models/uk-punctcase
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification