Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ibama_29102024_20241029175942_pipeline is a English model originally trained by alcalazans.
How to use
pipeline = PretrainedPipeline("ibama_29102024_20241029175942_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ibama_29102024_20241029175942_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ibama_29102024_20241029175942_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 406.0 MB |
References
https://huggingface.co/alcalazans/ibama_29102024_20241029175942
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering