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  • John Snow Labs
  • Apr 03, 2025

English vit_base_patch16_224_finetuned_flowers_pipeline pipeline ViTForImageClassification from walter2

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.vit_base_patch16_224_finetuned_flowers_pipeline is a English model originally trained by walter2.

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How to use


pipeline = PretrainedPipeline("vit_base_patch16_224_finetuned_flowers_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("vit_base_patch16_224_finetuned_flowers_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: vit_base_patch16_224_finetuned_flowers_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/walter2/vit-base-patch16-224-finetuned-flowers

Included Models

  • ImageAssembler
  • ViTForImageClassification