Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ibama_dataset2_teste_20250105145342_pipeline
is a English model originally trained by alcalazans.
How to use
pipeline = PretrainedPipeline("ibama_dataset2_teste_20250105145342_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ibama_dataset2_teste_20250105145342_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | ibama_dataset2_teste_20250105145342_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_dataset2_teste_20250105145342
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering