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  • John Snow Labs
  • Mar 30, 2025

English housing_categories ViTForImageClassification from Albe

  • en
  • open_source
  • onnx
  • image_classification
  • vit

Description

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

Download Copy S3 URI

How to use


		
		

image_assembler = ImageAssembler()\
  .setInputCol("image")\
  .setOutputCol("image_assembler")

imageClassifier = ViTForImageClassification.pretrained(""housing_categories","en")\
  .setInputCols("image_assembler")\
  .setOutputCol("class")

pipeline = Pipeline(stages=[
  image_assembler,
  imageClassifier,
])

pipelineModel = pipeline.fit(imageDF)

pipelineDF = pipelineModel.transform(imageDF)



val imageAssembler = new ImageAssembler()
    .setInputCol("image")
    .setOutputCol("image_assembler")

val imageClassifier =  ViTForImageClassification.pretrained("housing_categories","en") 
    .setInputCols("image_assembler") 
    .setOutputCol("class") 

val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))

val pipelineModel = pipeline.fit(imageDF)

val pipelineDF = pipelineModel.transform(imageDF)

Model Information

Model Name: housing_categories
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Input Labels: [image_assembler]
Output Labels: [label]
Language: en
Size: 321.3 MB

References

https://huggingface.co/Albe/housing-categories