Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.google_vit_base_patch16_224_cartoon_face_recognition_pipeline
is a English model originally trained by jayanta.
How to use
pipeline = PretrainedPipeline("google_vit_base_patch16_224_cartoon_face_recognition_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("google_vit_base_patch16_224_cartoon_face_recognition_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | google_vit_base_patch16_224_cartoon_face_recognition_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.4 MB |
References
https://huggingface.co/jayanta/google-vit-base-patch16-224-cartoon-face-recognition
Included Models
- ImageAssembler
- ViTForImageClassification