Hebrew alephbertgimmel_parashoot_pipeline pipeline BertForQuestionAnswering from imvladikon

Description

Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.alephbertgimmel_parashoot_pipeline is a Hebrew model originally trained by imvladikon.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("alephbertgimmel_parashoot_pipeline", lang = "he")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("alephbertgimmel_parashoot_pipeline", lang = "he")
val annotations = pipeline.transform(df)

Model Information

Model Name: alephbertgimmel_parashoot_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: he
Size: 690.5 MB

References

https://huggingface.co/imvladikon/alephbertgimmel_parashoot

Included Models

  • MultiDocumentAssembler
  • BertForQuestionAnswering