Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.facial_emotions_image_detection_rafdb_microsoft_vit_pipeline is a English model originally trained by adhityamw11.
How to use
pipeline = PretrainedPipeline("facial_emotions_image_detection_rafdb_microsoft_vit_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("facial_emotions_image_detection_rafdb_microsoft_vit_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | facial_emotions_image_detection_rafdb_microsoft_vit_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 206.3 MB |
References
https://huggingface.co/adhityamw11/facial_emotions_image_detection_rafdb_microsoft_vit
Included Models
- ImageAssembler
- SwinForImageClassification