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  • John Snow Labs
  • Dec 17, 2024

English swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_pipeline pipeline SwinForImageClassification from diana9m

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_pipeline is a English model originally trained by diana9m.

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How to use


pipeline = PretrainedPipeline("swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 211.4 MB

References

https://huggingface.co/diana9m/swin-tiny-patch4-window7-224-finetuned-eurosat

Included Models

  • ImageAssembler
  • SwinForImageClassification