Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.answer_finder_v1_l_multilingual_pipeline
is a Multilingual model originally trained by sinequa.
How to use
pipeline = PretrainedPipeline("answer_finder_v1_l_multilingual_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("answer_finder_v1_l_multilingual_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
Model Name: | answer_finder_v1_l_multilingual_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | xx |
Size: | 464.4 MB |
References
https://huggingface.co/sinequa/answer-finder-v1-L-multilingual
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering