Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.magmatbert_qa_pipeline is a English model originally trained by nlp-magnets.
How to use
pipeline = PretrainedPipeline("magmatbert_qa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("magmatbert_qa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | magmatbert_qa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.7 MB |
References
https://huggingface.co/nlp-magnets/magmatbert-qa
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering