Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.nepal_bhasa_plant_disease_classification_pipeline
is a English model originally trained by Heem2.
How to use
pipeline = PretrainedPipeline("nepal_bhasa_plant_disease_classification_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("nepal_bhasa_plant_disease_classification_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | nepal_bhasa_plant_disease_classification_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.4 MB |
References
https://huggingface.co/Heem2/New-plant-disease-classification
Included Models
- ImageAssembler
- ViTForImageClassification