Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_turkish_128k_cased_qa_pipeline
is a Turkish model originally trained by incidelen.
How to use
pipeline = PretrainedPipeline("bert_base_turkish_128k_cased_qa_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_turkish_128k_cased_qa_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bert_base_turkish_128k_cased_qa_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | tr |
Size: | 689.0 MB |
References
https://huggingface.co/incidelen/bert-base-turkish-128k-cased-qa
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering