Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.convnext_tiny_224_album_vitvmmrdb_make_model_album_pred_pipeline
is a English model originally trained by venetis.
How to use
pipeline = PretrainedPipeline("convnext_tiny_224_album_vitvmmrdb_make_model_album_pred_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("convnext_tiny_224_album_vitvmmrdb_make_model_album_pred_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | convnext_tiny_224_album_vitvmmrdb_make_model_album_pred_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 105.5 MB |
References
https://huggingface.co/venetis/convnext-tiny-224_album_vitVMMRdb_make_model_album_pred
Included Models
- ImageAssembler
- ViTForImageClassification