Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.armature_defect_detection_resin_pipeline is a English model originally trained by Devarshi.
How to use
pipeline = PretrainedPipeline("armature_defect_detection_resin_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("armature_defect_detection_resin_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | armature_defect_detection_resin_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 649.8 MB |
References
https://huggingface.co/Devarshi/Armature_Defect_Detection_Resin
Included Models
- ImageAssembler
- SwinForImageClassification