English real_estate_image_classification_30classes_pipeline pipeline ViTForImageClassification from andupets

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.real_estate_image_classification_30classes_pipeline is a English model originally trained by andupets.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("real_estate_image_classification_30classes_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("real_estate_image_classification_30classes_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: real_estate_image_classification_30classes_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.4 MB

References

https://huggingface.co/andupets/real-estate-image-classification-30classes

Included Models

  • ImageAssembler
  • ViTForImageClassification