Latin xlm_roberta_base_latin_uncased_pipeline pipeline XlmRoBertaEmbeddings from Cicciokr

Description

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

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How to use


pipeline = PretrainedPipeline("xlm_roberta_base_latin_uncased_pipeline", lang = "la")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("xlm_roberta_base_latin_uncased_pipeline", lang = "la")
val annotations = pipeline.transform(df)

Model Information

Model Name: xlm_roberta_base_latin_uncased_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: la
Size: 916.1 MB

References

https://huggingface.co/Cicciokr/XLM-Roberta-Base-Latin-Uncased

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaEmbeddings