Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_legal_german_cased_german_legal_squad_17_pipeline is a German model originally trained by farid1088.
How to use
pipeline = PretrainedPipeline("roberta_legal_german_cased_german_legal_squad_17_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_legal_german_cased_german_legal_squad_17_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_legal_german_cased_german_legal_squad_17_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | de |
| Size: | 465.8 MB |
References
https://huggingface.co/farid1088/RoBERTa-legal-de-cased_German_legal_SQuAD_17
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering