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