English roberta_xlm_finetuned_amazon_conversations_pipeline pipeline RoBertaEmbeddings from afcarzero1

Description

Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_xlm_finetuned_amazon_conversations_pipeline is a English model originally trained by afcarzero1.

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How to use


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


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

Model Information

Model Name: roberta_xlm_finetuned_amazon_conversations_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 1.3 GB

References

https://huggingface.co/afcarzero1/roberta-xlm-finetuned-amazon_conversations

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaEmbeddings