Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gqa_roberta_german_legal_squad_part_augmented_17_pipeline
is a German model originally trained by farid1088.
How to use
pipeline = PretrainedPipeline("gqa_roberta_german_legal_squad_part_augmented_17_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gqa_roberta_german_legal_squad_part_augmented_17_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
Model Name: | gqa_roberta_german_legal_squad_part_augmented_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/GQA_RoBERTa_German_legal_SQuAD_part_augmented_17
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering