Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.08062024v1swin_tiny_patch4_window7_224_finetuned_eurosat_pipeline is a English model originally trained by Larbz-7.
How to use
pipeline = PretrainedPipeline("08062024v1swin_tiny_patch4_window7_224_finetuned_eurosat_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("08062024v1swin_tiny_patch4_window7_224_finetuned_eurosat_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | 08062024v1swin_tiny_patch4_window7_224_finetuned_eurosat_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 206.4 MB |
References
https://huggingface.co/Larbz-7/08062024v1swin-tiny-patch4-window7-224-finetuned-eurosat
Included Models
- ImageAssembler
- SwinForImageClassification