Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.araroberta_kurdish_pipeline is a Arabic model originally trained by reemalyami.
How to use
pipeline = PretrainedPipeline("araroberta_kurdish_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("araroberta_kurdish_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | araroberta_kurdish_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 470.7 MB |
References
https://huggingface.co/reemalyami/AraRoBERTa-KU
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings