Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.marathi_question_answering_squad_bert_pipeline is a Marathi model originally trained by l3cube-pune.
How to use
pipeline = PretrainedPipeline("marathi_question_answering_squad_bert_pipeline", lang = "mr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("marathi_question_answering_squad_bert_pipeline", lang = "mr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | marathi_question_answering_squad_bert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | mr |
| Size: | 890.6 MB |
References
https://huggingface.co/l3cube-pune/marathi-question-answering-squad-bert
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering