Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_multi_class_classification_not_evaluated_pipeline is a English model originally trained by autoevaluate.
How to use
pipeline = PretrainedPipeline("image_multi_class_classification_not_evaluated_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("image_multi_class_classification_not_evaluated_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | image_multi_class_classification_not_evaluated_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 206.4 MB |
References
https://huggingface.co/autoevaluate/image-multi-class-classification-not-evaluated
Included Models
- ImageAssembler
- SwinForImageClassification