Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_ar615_cxc9m_pipeline is a English model originally trained by chanhua.
How to use
pipeline = PretrainedPipeline("autotrain_ar615_cxc9m_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_ar615_cxc9m_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_ar615_cxc9m_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 513.1 KB |
References
https://huggingface.co/chanhua/autotrain-ar615-cxc9m
Included Models
- ImageAssembler
- ViTForImageClassification