Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.internal_swin_base_food101_int8_structured40_pipeline is a English model originally trained by yujiepan.
How to use
pipeline = PretrainedPipeline("internal_swin_base_food101_int8_structured40_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("internal_swin_base_food101_int8_structured40_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | internal_swin_base_food101_int8_structured40_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 647.8 MB |
References
https://huggingface.co/yujiepan/internal.swin-base-food101-int8-structured40
Included Models
- ImageAssembler
- SwinForImageClassification