English sent_xlm_roberta_base_1024_256_pipeline pipeline XlmRoBertaSentenceEmbeddings from kdercksen

Description

Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_xlm_roberta_base_1024_256_pipeline is a English model originally trained by kdercksen.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("sent_xlm_roberta_base_1024_256_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("sent_xlm_roberta_base_1024_256_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: sent_xlm_roberta_base_1024_256_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 654.4 MB

References

https://huggingface.co/kdercksen/xlm-roberta-base-1024-256

Included Models

  • DocumentAssembler
  • TokenizerModel
  • SentenceDetectorDLModel
  • XlmRoBertaSentenceEmbeddings