Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sbert_large_nlu_russian_ktr_pipeline is a English model originally trained by YuryCHep.
How to use
pipeline = PretrainedPipeline("sbert_large_nlu_russian_ktr_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sbert_large_nlu_russian_ktr_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sbert_large_nlu_russian_ktr_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.6 GB |
References
https://huggingface.co/YuryCHep/sbert_large_nlu_ru_ktr
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering