Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sroberta_pipeline is a Croatian model originally trained by Andrija.
How to use
pipeline = PretrainedPipeline("sroberta_pipeline", lang = "hr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sroberta_pipeline", lang = "hr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sroberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hr |
| Size: | 450.8 MB |
References
https://huggingface.co/Andrija/SRoBERTa
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings