Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.batch_size16_celeb_df_opencv_1fps_unaugmentation_pipeline is a English model originally trained by hchcsuim.
How to use
pipeline = PretrainedPipeline("batch_size16_celeb_df_opencv_1fps_unaugmentation_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("batch_size16_celeb_df_opencv_1fps_unaugmentation_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | batch_size16_celeb_df_opencv_1fps_unaugmentation_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 206.3 MB |
References
https://huggingface.co/hchcsuim/batch-size16_Celeb-DF_opencv-1FPS_unaugmentation
Included Models
- ImageAssembler
- SwinForImageClassification