Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.hushem_40x_deit_small_adamax_0001_fold2_pipeline
is a English model originally trained by hkivancoral.
How to use
pipeline = PretrainedPipeline("hushem_40x_deit_small_adamax_0001_fold2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("hushem_40x_deit_small_adamax_0001_fold2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | hushem_40x_deit_small_adamax_0001_fold2_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 81.1 MB |
References
https://huggingface.co/hkivancoral/hushem_40x_deit_small_adamax_0001_fold2
Included Models
- ImageAssembler
- ViTForImageClassification