Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.vit_persian_food_classifier_mini_pipeline is a Persian model originally trained by iTzMiNOS.
How to use
pipeline = PretrainedPipeline("vit_persian_food_classifier_mini_pipeline", lang = "fa")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("vit_persian_food_classifier_mini_pipeline", lang = "fa")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | vit_persian_food_classifier_mini_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fa |
| Size: | 321.4 MB |
References
https://huggingface.co/iTzMiNOS/vit-persian-food-classifier-mini
Included Models
- ImageAssembler
- ViTForImageClassification