Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xrayclip__vit_b_16__laion2b_s34b_b88k_pipeline is a English model originally trained by StanfordAIMI.
How to use
pipeline = PretrainedPipeline("xrayclip__vit_b_16__laion2b_s34b_b88k_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xrayclip__vit_b_16__laion2b_s34b_b88k_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xrayclip__vit_b_16__laion2b_s34b_b88k_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 564.4 MB |
References
https://huggingface.co/StanfordAIMI/XrayCLIP__vit-b-16__laion2b-s34b-b88k
Included Models
- ImageAssembler
- CLIPForZeroShotClassification