Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bhutanese_textile_model_grey3000_pipeline
is a English model originally trained by Grey3000.
How to use
pipeline = PretrainedPipeline("bhutanese_textile_model_grey3000_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bhutanese_textile_model_grey3000_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bhutanese_textile_model_grey3000_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.3 MB |
References
https://huggingface.co/Grey3000/bhutanese-textile-model
Included Models
- ImageAssembler
- ViTForImageClassification