Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.clip_base_patch16_supervised_mulitilingual_400_pipeline is a English model originally trained by gowitheflowlab.
How to use
pipeline = PretrainedPipeline("clip_base_patch16_supervised_mulitilingual_400_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("clip_base_patch16_supervised_mulitilingual_400_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | clip_base_patch16_supervised_mulitilingual_400_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 509.8 MB |
References
https://huggingface.co/gowitheflowlab/clip-base-patch16-supervised-mulitilingual-400
Included Models
- ImageAssembler
- CLIPForZeroShotClassification