English setfit_model_feb11_misinformation_on_media_traditional_social_pipeline pipeline MPNetEmbeddings from mitra-mir

Description

Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.setfit_model_feb11_misinformation_on_media_traditional_social_pipeline is a English model originally trained by mitra-mir.

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How to use


pipeline = PretrainedPipeline("setfit_model_feb11_misinformation_on_media_traditional_social_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("setfit_model_feb11_misinformation_on_media_traditional_social_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: setfit_model_feb11_misinformation_on_media_traditional_social_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 406.8 MB

References

https://huggingface.co/mitra-mir/setfit-model-Feb11-Misinformation-on-Media-Traditional-Social

Included Models

  • DocumentAssembler
  • MPNetEmbeddings