Description
Pretrained Swin pipeline, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_swin_autotrain_weather_classification_3739699409
is a English model originally trained by dazzle-nu.
How to use
pipeline = PretrainedPipeline('pipeline_image_classifier_swin_autotrain_weather_classification_3739699409', lang = 'en')
annotations = pipeline.transform(imageDF)
val pipeline = new PretrainedPipeline("pipeline_image_classifier_swin_autotrain_weather_classification_3739699409", lang = "en")
val annotations = pipeline.transform(imageDF)
Model Information
Model Name: | pipeline_image_classifier_swin_autotrain_weather_classification_3739699409 |
Type: | pipeline |
Compatibility: | Spark NLP 4.4.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 657.9 MB |
Included Models
- ImageAssembler
- SwinForImageClassification