Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rubert_russian_qa_sberquad_pipeline
is a Russian model originally trained by milyausha2801.
Predicted Entities
How to use
pipeline = PretrainedPipeline("rubert_russian_qa_sberquad_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rubert_russian_qa_sberquad_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
Model Name: | rubert_russian_qa_sberquad_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ru |
Size: | 664.3 MB |
References
References
https://huggingface.co/milyausha2801/rubert-russian-qa-sberquad
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering