Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.fav_foods_pipeline is a English model originally trained by rehaaaaan.
How to use
pipeline = PretrainedPipeline("fav_foods_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("fav_foods_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | fav_foods_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 321.3 MB |
References
https://huggingface.co/rehaaaaan/fav_foods
Included Models
- ImageAssembler
- ViTForImageClassification