Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.srberta_nemanjapetrovic_pipeline is a Serbian model originally trained by nemanjaPetrovic.
How to use
pipeline = PretrainedPipeline("srberta_nemanjapetrovic_pipeline", lang = "sr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("srberta_nemanjapetrovic_pipeline", lang = "sr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | srberta_nemanjapetrovic_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sr |
| Size: | 466.3 MB |
References
https://huggingface.co/nemanjaPetrovic/SrBERTa
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings