Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.minilm_uncased_squad2_covidqa_pipeline is a English model originally trained by Frizio.
How to use
pipeline = PretrainedPipeline("minilm_uncased_squad2_covidqa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("minilm_uncased_squad2_covidqa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | minilm_uncased_squad2_covidqa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 123.8 MB |
References
https://huggingface.co/Frizio/minilm-uncased-squad2-covidqa
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering