English xrayclip__vit_l_14__laion2b_s32b_b82k_pipeline pipeline CLIPForZeroShotClassification from StanfordAIMI

Description

Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xrayclip__vit_l_14__laion2b_s32b_b82k_pipeline is a English model originally trained by StanfordAIMI.

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How to use


pipeline = PretrainedPipeline("xrayclip__vit_l_14__laion2b_s32b_b82k_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("xrayclip__vit_l_14__laion2b_s32b_b82k_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: xrayclip__vit_l_14__laion2b_s32b_b82k_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 1.6 GB

References

https://huggingface.co/StanfordAIMI/XrayCLIP__vit-l-14__laion2b-s32b-b82k

Included Models

  • ImageAssembler
  • CLIPForZeroShotClassification