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  • John Snow Labs
  • Feb 08, 2025

English 10e_affecthq_fer_balanced_w0_1_jitter_jiggle_pipeline pipeline ViTForImageClassification from Piro17

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.10e_affecthq_fer_balanced_w0_1_jitter_jiggle_pipeline is a English model originally trained by Piro17.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("10e_affecthq_fer_balanced_w0_1_jitter_jiggle_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("10e_affecthq_fer_balanced_w0_1_jitter_jiggle_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: 10e_affecthq_fer_balanced_w0_1_jitter_jiggle_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/Piro17/10E-affecthq-fer-balanced-w0.1-jitter-jiggle

Included Models

  • ImageAssembler
  • ViTForImageClassification