Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ukraine_waray_philippines_pov_pipeline is a Ukrainian model originally trained by YaraKyrychenko.
How to use
pipeline = PretrainedPipeline("ukraine_waray_philippines_pov_pipeline", lang = "uk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ukraine_waray_philippines_pov_pipeline", lang = "uk")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ukraine_waray_philippines_pov_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uk |
| Size: | 877.0 MB |
References
https://huggingface.co/YaraKyrychenko/ukraine-war-pov
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification