English xlm_v_base_trimmed_english_pipeline pipeline XlmRoBertaEmbeddings from vocabtrimmer

Description

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

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How to use


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


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

Model Information

Model Name: xlm_v_base_trimmed_english_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 1.0 GB

References

https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-en

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaEmbeddings