Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cardioberta_dutch_clinical_pipeline is a Dutch, Flemish model originally trained by UMCU.
How to use
pipeline = PretrainedPipeline("cardioberta_dutch_clinical_pipeline", lang = "nl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cardioberta_dutch_clinical_pipeline", lang = "nl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cardioberta_dutch_clinical_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | nl |
| Size: | 469.4 MB |
References
https://huggingface.co/UMCU/CardioBERTa.nl_clinical
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings