Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classification_food101vitmodel_pipeline is a English model originally trained by BhavanaMalla.
How to use
pipeline = PretrainedPipeline("image_classification_food101vitmodel_pipeline", lang = "en")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("image_classification_food101vitmodel_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | image_classification_food101vitmodel_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.1+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | en | 
| Size: | 321.6 MB | 
References
https://huggingface.co/BhavanaMalla/image_classification_food101VITmodel
Included Models
- ImageAssembler
- ViTForImageClassification