English spie_multiclass_google_1_0_pipeline pipeline ViTForImageClassification from LaLegumbreArtificial

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.spie_multiclass_google_1_0_pipeline is a English model originally trained by LaLegumbreArtificial.

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How to use


pipeline = PretrainedPipeline("spie_multiclass_google_1_0_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("spie_multiclass_google_1_0_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: spie_multiclass_google_1_0_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 20.7 MB

References

https://huggingface.co/LaLegumbreArtificial/SPIE_MULTICLASS_GOOGLE_1_0

Included Models

  • ImageAssembler
  • ViTForImageClassification