English libertus_base_pipeline pipeline RoBertaEmbeddings from ljvmiranda921

Description

Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.libertus_base_pipeline is a English model originally trained by ljvmiranda921.

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How to use


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


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

Model Information

Model Name: libertus_base_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 468.7 MB

References

https://huggingface.co/ljvmiranda921/LiBERTus-base

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaEmbeddings