English ibama_dataset2_teste_20250105145342_pipeline pipeline BertForQuestionAnswering from alcalazans

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.

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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