Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.medicinal_plants_image_detection_hom_ksd_pipeline
is a English model originally trained by Hom-ksd.
How to use
pipeline = PretrainedPipeline("medicinal_plants_image_detection_hom_ksd_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("medicinal_plants_image_detection_hom_ksd_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | medicinal_plants_image_detection_hom_ksd_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.5 MB |
References
https://huggingface.co/Hom-ksd/medicinal_plants_image_detection
Included Models
- ImageAssembler
- ViTForImageClassification