English gpters_11th_real_estate_classifier_pipeline pipeline ViTForImageClassification from Kang-Seong-Jun

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gpters_11th_real_estate_classifier_pipeline is a English model originally trained by Kang-Seong-Jun.

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How to use


pipeline = PretrainedPipeline("gpters_11th_real_estate_classifier_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("gpters_11th_real_estate_classifier_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: gpters_11th_real_estate_classifier_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/Kang-Seong-Jun/GPTers_11th_Real_Estate_Classifier

Included Models

  • ImageAssembler
  • ViTForImageClassification