Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.burmese_bert_question_answering_model_pipeline
is a English model originally trained by Ashkh0099.
How to use
pipeline = PretrainedPipeline("burmese_bert_question_answering_model_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("burmese_bert_question_answering_model_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | burmese_bert_question_answering_model_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 407.2 MB |
References
https://huggingface.co/Ashkh0099/my-bert-question-answering-model
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering