Esperanto esperberto_malgranda_pipeline pipeline RoBertaEmbeddings from hashk1

Description

Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.esperberto_malgranda_pipeline is a Esperanto model originally trained by hashk1.

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How to use


pipeline = PretrainedPipeline("esperberto_malgranda_pipeline", lang = "eo")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("esperberto_malgranda_pipeline", lang = "eo")
val annotations = pipeline.transform(df)

Model Information

Model Name: esperberto_malgranda_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: eo
Size: 308.3 MB

References

https://huggingface.co/hashk1/EsperBERTo-malgranda

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaEmbeddings