Edit on GitHub
  • John Snow Labs
  • Apr 08, 2025

English facialemotion_google_vit_base_patch16_224_pipeline pipeline ViTForImageClassification from ozonetg

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.facialemotion_google_vit_base_patch16_224_pipeline is a English model originally trained by ozonetg.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("facialemotion_google_vit_base_patch16_224_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("facialemotion_google_vit_base_patch16_224_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: facialemotion_google_vit_base_patch16_224_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/ozonetg/facialemotion-google-vit-base-patch16-224

Included Models

  • ImageAssembler
  • ViTForImageClassification