Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.robertaurdu_pipeline is a Urdu model originally trained by hadidev.
How to use
pipeline = PretrainedPipeline("robertaurdu_pipeline", lang = "ur")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("robertaurdu_pipeline", lang = "ur")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | robertaurdu_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ur |
| Size: | 333.4 MB |
References
https://huggingface.co/hadidev/robertaurdu
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings