Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_large_swiss_legal_pipeline is a Alemannic, Alsatian, Swiss German model originally trained by joelito.
How to use
pipeline = PretrainedPipeline("roberta_large_swiss_legal_pipeline", lang = "gsw")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_large_swiss_legal_pipeline", lang = "gsw")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_large_swiss_legal_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | gsw |
| Size: | 1.6 GB |
References
https://huggingface.co/joelito/legal-swiss-roberta-large
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings