Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.uniir_sf_vit_large_patch14_336_best_pipeline is a English model originally trained by lsr42.
How to use
pipeline = PretrainedPipeline("uniir_sf_vit_large_patch14_336_best_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("uniir_sf_vit_large_patch14_336_best_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | uniir_sf_vit_large_patch14_336_best_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.6 GB |
References
https://huggingface.co/lsr42/uniir-sf-vit-large-patch14-336-best
Included Models
- ImageAssembler
- CLIPForZeroShotClassification