Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.med_complication_classifaction_pipeline is a English model originally trained by Cem13.
How to use
pipeline = PretrainedPipeline("med_complication_classifaction_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("med_complication_classifaction_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | med_complication_classifaction_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.1 GB |
References
https://huggingface.co/Cem13/med_complication_classifaction
Included Models
- ImageAssembler
- ViTForImageClassification