Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.deit_tiny_patch16_224_facebook_pipeline
is a English model originally trained by facebook.
How to use
pipeline = PretrainedPipeline("deit_tiny_patch16_224_facebook_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("deit_tiny_patch16_224_facebook_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | deit_tiny_patch16_224_facebook_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 21.5 MB |
References
https://huggingface.co/facebook/deit-tiny-patch16-224
Included Models
- ImageAssembler
- ViTForImageClassification