Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.markuus_bert_base_multilingual_squad_cqa_l1_l2_pipeline is a Multilingual model originally trained by imrazaa.
How to use
pipeline = PretrainedPipeline("markuus_bert_base_multilingual_squad_cqa_l1_l2_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("markuus_bert_base_multilingual_squad_cqa_l1_l2_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | markuus_bert_base_multilingual_squad_cqa_l1_l2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 625.5 MB |
References
https://huggingface.co/imrazaa/markuus-bert-base-multilingual-squad_cqa_L1-L2
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering