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_razaali_pipeline
is a English model originally trained by razaali.
How to use
pipeline = PretrainedPipeline("swin_tiny_patch4_window7_224_finetuned_eurosat_razaali_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("swin_tiny_patch4_window7_224_finetuned_eurosat_razaali_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | swin_tiny_patch4_window7_224_finetuned_eurosat_razaali_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 206.4 MB |
References
https://huggingface.co/razaali/swin-tiny-patch4-window7-224-finetuned-eurosat
Included Models
- ImageAssembler
- SwinForImageClassification