Description
Pretrained Swin pipeline, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_swin_autotrain_flower_classification_6_38312101280 is a English model originally trained by omarques.
How to use
pipeline = PretrainedPipeline('pipeline_image_classifier_swin_autotrain_flower_classification_6_38312101280', lang = 'en')
annotations = pipeline.transform(imageDF)
val pipeline = new PretrainedPipeline("pipeline_image_classifier_swin_autotrain_flower_classification_6_38312101280", lang = "en")
val annotations = pipeline.transform(imageDF)
Model Information
| Model Name: | pipeline_image_classifier_swin_autotrain_flower_classification_6_38312101280 |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 210.4 MB |
Included Models
- ImageAssembler
- SwinForImageClassification