Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.clip_vit_base_patch32_demo_omarques_pipeline is a English model originally trained by omarques.
How to use
pipeline = PretrainedPipeline("clip_vit_base_patch32_demo_omarques_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("clip_vit_base_patch32_demo_omarques_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | clip_vit_base_patch32_demo_omarques_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 397.5 MB |
References
https://huggingface.co/omarques/clip-vit-base-patch32-demo
Included Models
- ImageAssembler
- CLIPForZeroShotClassification