Description
Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_Check_GoodBad_Teeth
is a English model originally trained by steven123.
Predicted Entities
Bad Teeth
, Good Teeth
How to use
pipeline = PretrainedPipeline('pipeline_image_classifier_vit_Check_GoodBad_Teeth', lang = 'en')
annotations = pipeline.transform(imageDF)
val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_Check_GoodBad_Teeth", lang = "en")
val annotations = pipeline.transform(imageDF)
Model Information
Model Name: | pipeline_image_classifier_vit_Check_GoodBad_Teeth |
Type: | pipeline |
Compatibility: | Spark NLP 4.2.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.9 MB |
Included Models
- ImageAssembler
- ViTForImageClassification