Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.pokemon_classifier_gen9_1025_pipeline
is a English model originally trained by skshmjn.
How to use
pipeline = PretrainedPipeline("pokemon_classifier_gen9_1025_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("pokemon_classifier_gen9_1025_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | pokemon_classifier_gen9_1025_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 324.3 MB |
References
https://huggingface.co/skshmjn/Pokemon-classifier-gen9-1025
Included Models
- ImageAssembler
- ViTForImageClassification