English car_damage_classifier_prad2007_pipeline pipeline ViTForImageClassification from prad2007

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.car_damage_classifier_prad2007_pipeline is a English model originally trained by prad2007.

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How to use


pipeline = PretrainedPipeline("car_damage_classifier_prad2007_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("car_damage_classifier_prad2007_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: car_damage_classifier_prad2007_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/prad2007/car_damage_classifier

Included Models

  • ImageAssembler
  • ViTForImageClassification