Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.living_spaces_classification_scraper_pipeline is a English model originally trained by chris32.
How to use
pipeline = PretrainedPipeline("living_spaces_classification_scraper_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("living_spaces_classification_scraper_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | living_spaces_classification_scraper_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 321.3 MB |
References
https://huggingface.co/chris32/living-spaces-classification_scraper
Included Models
- ImageAssembler
- ViTForImageClassification