Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.hebert_parashoot_pipeline is a Hebrew model originally trained by imvladikon.
How to use
pipeline = PretrainedPipeline("hebert_parashoot_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("hebert_parashoot_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | hebert_parashoot_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | he |
| Size: | 408.1 MB |
References
https://huggingface.co/imvladikon/hebert_parashoot
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering