Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sharif_pors_bert_base_sharif_qa_pipeline is a English model originally trained by parsi-ai-nlpclass.
How to use
pipeline = PretrainedPipeline("sharif_pors_bert_base_sharif_qa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sharif_pors_bert_base_sharif_qa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sharif_pors_bert_base_sharif_qa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 606.5 MB |
References
https://huggingface.co/parsi-ai-nlpclass/Sharif-Pors-bert-base-sharif-qa
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering