English akan_vit_base_patch16_224_in21k_image_classification_pipeline pipeline ViTForImageClassification from amitkayal

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.akan_vit_base_patch16_224_in21k_image_classification_pipeline is a English model originally trained by amitkayal.

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How to use


pipeline = PretrainedPipeline("akan_vit_base_patch16_224_in21k_image_classification_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("akan_vit_base_patch16_224_in21k_image_classification_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: akan_vit_base_patch16_224_in21k_image_classification_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.9 MB

References

https://huggingface.co/amitkayal/ak-vit-base-patch16-224-in21k-image_classification

Included Models

  • ImageAssembler
  • ViTForImageClassification