Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sinhala_roberta_oscar_pipeline is a Sinhala, Sinhalese model originally trained by keshan.
How to use
pipeline = PretrainedPipeline("sinhala_roberta_oscar_pipeline", lang = "si")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sinhala_roberta_oscar_pipeline", lang = "si")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sinhala_roberta_oscar_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | si |
| Size: | 465.4 MB |
References
https://huggingface.co/keshan/sinhala-roberta-oscar
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings