Edit on GitHub
  • John Snow Labs
  • Feb 06, 2025

English albert_finetuned_adcm_v6data_pipeline pipeline AlbertForQuestionAnswering from DenBond2002

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained AlbertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.albert_finetuned_adcm_v6data_pipeline is a English model originally trained by DenBond2002.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("albert_finetuned_adcm_v6data_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("albert_finetuned_adcm_v6data_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: albert_finetuned_adcm_v6data_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 42.0 MB

References

https://huggingface.co/DenBond2002/albert-finetuned-adcm-v6data

Included Models

  • MultiDocumentAssembler
  • AlbertForQuestionAnswering