English visual_emotional_analysis_kittendev_pipeline pipeline ViTForImageClassification from kittendev

Description

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

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How to use


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


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

Model Information

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

References

https://huggingface.co/kittendev/visual_emotional_analysis

Included Models

  • ImageAssembler
  • ViTForImageClassification