Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rubert_base_cased_sentence_pipeline is a English model originally trained by YuryCHep.
How to use
pipeline = PretrainedPipeline("rubert_base_cased_sentence_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rubert_base_cased_sentence_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rubert_base_cased_sentence_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 664.3 MB |
References
https://huggingface.co/YuryCHep/rubert-base-cased-sentence
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering