English clothes_pattern_classification_v2_pipeline pipeline ViTForImageClassification from IrshadG

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.clothes_pattern_classification_v2_pipeline is a English model originally trained by IrshadG.

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How to use


pipeline = PretrainedPipeline("clothes_pattern_classification_v2_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("clothes_pattern_classification_v2_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: clothes_pattern_classification_v2_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.4 MB

References

https://huggingface.co/IrshadG/Clothes_Pattern_Classification_v2

Included Models

  • ImageAssembler
  • ViTForImageClassification