Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.city_austronesian_languages_vit_base_patch16_224_pipeline
is a English model originally trained by STEM-AI-mtl.
How to use
pipeline = PretrainedPipeline("city_austronesian_languages_vit_base_patch16_224_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("city_austronesian_languages_vit_base_patch16_224_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | city_austronesian_languages_vit_base_patch16_224_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.4 MB |
References
https://huggingface.co/STEM-AI-mtl/City_map-vit-base-patch16-224
Included Models
- ImageAssembler
- ViTForImageClassification