Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xraysiglip__vit_b_16__laion2b_s34b_b88k_pipeline
is a English model originally trained by StanfordAIMI.
How to use
pipeline = PretrainedPipeline("xraysiglip__vit_b_16__laion2b_s34b_b88k_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xraysiglip__vit_b_16__laion2b_s34b_b88k_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | xraysiglip__vit_b_16__laion2b_s34b_b88k_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 564.3 MB |
References
https://huggingface.co/StanfordAIMI/XraySigLIP__vit-b-16__laion2b-s34b-b88k
Included Models
- ImageAssembler
- CLIPForZeroShotClassification