Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tesla81_pipeline is a Serbian model originally trained by te-sla.
How to use
pipeline = PretrainedPipeline("tesla81_pipeline", lang = "sr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tesla81_pipeline", lang = "sr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tesla81_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sr |
| Size: | 290.5 MB |
References
https://huggingface.co/te-sla/Tesla81
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings