Castilian, Spanish beto_spanish_binary_classification_pipeline pipeline BertForSequenceClassification from hiiamsid

Description

Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.beto_spanish_binary_classification_pipeline is a Castilian, Spanish model originally trained by hiiamsid.

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How to use


pipeline = PretrainedPipeline("beto_spanish_binary_classification_pipeline", lang = "es")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("beto_spanish_binary_classification_pipeline", lang = "es")
val annotations = pipeline.transform(df)

Model Information

Model Name: beto_spanish_binary_classification_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: es
Size: 411.7 MB

References

https://huggingface.co/hiiamsid/BETO_es_binary_classification

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForSequenceClassification