Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.dictabert_large_heq_pipeline
is a Hebrew model originally trained by dicta-il.
How to use
pipeline = PretrainedPipeline("dictabert_large_heq_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("dictabert_large_heq_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
Model Name: | dictabert_large_heq_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | he |
Size: | 1.6 GB |
References
https://huggingface.co/dicta-il/dictabert-large-heq
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering