Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indobert_for_eqa_finetuned_pipeline is a Malay (macrolanguage) model originally trained by primasr.
How to use
pipeline = PretrainedPipeline("indobert_for_eqa_finetuned_pipeline", lang = "ms")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("indobert_for_eqa_finetuned_pipeline", lang = "ms")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | indobert_for_eqa_finetuned_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ms |
| Size: | 411.7 MB |
References
https://huggingface.co/primasr/indobert-for-eqa-finetuned
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering