Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.helloworld_pipeline is a Castilian, Spanish model originally trained by avazquez2.
How to use
pipeline = PretrainedPipeline("helloworld_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("helloworld_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | helloworld_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 321.3 MB |
References
https://huggingface.co/avazquez2/helloWorld
Included Models
- ImageAssembler
- ViTForImageClassification