Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ofm_swinv2_base_patch4_window7_cifar100_pipeline
is a English model originally trained by yusx-swapp.
How to use
pipeline = PretrainedPipeline("ofm_swinv2_base_patch4_window7_cifar100_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ofm_swinv2_base_patch4_window7_cifar100_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | ofm_swinv2_base_patch4_window7_cifar100_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 650.5 MB |
References
https://huggingface.co/yusx-swapp/ofm-swinv2-base-patch4-window7-cifar100
Included Models
- ImageAssembler
- SwinForImageClassification