Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_qa_bert_multi_uncased_finetuned_xquadv1_pipeline is a Multilingual model originally trained by mrm8488.
How to use
pipeline = PretrainedPipeline("bert_qa_bert_multi_uncased_finetuned_xquadv1_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_qa_bert_multi_uncased_finetuned_xquadv1_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_qa_bert_multi_uncased_finetuned_xquadv1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 625.5 MB |
References
https://huggingface.co/mrm8488/bert-multi-uncased-finetuned-xquadv1
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering