Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.swin_tiny_patch4_window7_224_finetuned_eurosat_2022happy_pipeline is a English model originally trained by 2022happy.
How to use
pipeline = PretrainedPipeline("swin_tiny_patch4_window7_224_finetuned_eurosat_2022happy_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("swin_tiny_patch4_window7_224_finetuned_eurosat_2022happy_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | swin_tiny_patch4_window7_224_finetuned_eurosat_2022happy_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 206.4 MB |
References
https://huggingface.co/2022happy/swin-tiny-patch4-window7-224-finetuned-eurosat
Included Models
- ImageAssembler
- SwinForImageClassification