Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.javanese_roberta_small_pipeline is a Javanese model originally trained by w11wo.
How to use
pipeline = PretrainedPipeline("javanese_roberta_small_pipeline", lang = "jv")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("javanese_roberta_small_pipeline", lang = "jv")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | javanese_roberta_small_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | jv |
| Size: | 465.8 MB |
References
https://huggingface.co/w11wo/javanese-roberta-small
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings