English vit_snack_classification_fp16_silvering_pipeline pipeline ViTForImageClassification from silvering

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.vit_snack_classification_fp16_silvering_pipeline is a English model originally trained by silvering.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("vit_snack_classification_fp16_silvering_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("vit_snack_classification_fp16_silvering_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: vit_snack_classification_fp16_silvering_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.4 MB

References

https://huggingface.co/silvering/vit-snack-classification-fp16

Included Models

  • ImageAssembler
  • ViTForImageClassification