Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_multilingual_nature_limit_preprocessed_3000_rouge_pipeline
is a Multilingual model originally trained by mlnha.
How to use
pipeline = PretrainedPipeline("bert_multilingual_nature_limit_preprocessed_3000_rouge_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_multilingual_nature_limit_preprocessed_3000_rouge_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bert_multilingual_nature_limit_preprocessed_3000_rouge_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | xx |
Size: | 665.1 MB |
References
https://huggingface.co/mlnha/bert-multilingual-nature-limit-preprocessed-3000-rouge
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering