Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.seizure_vit_jlb_231108_indoiranian_languages_adjusted_pipeline
is a English model originally trained by JLB-JLB.
How to use
pipeline = PretrainedPipeline("seizure_vit_jlb_231108_indoiranian_languages_adjusted_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("seizure_vit_jlb_231108_indoiranian_languages_adjusted_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | seizure_vit_jlb_231108_indoiranian_languages_adjusted_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 321.3 MB |
References
https://huggingface.co/JLB-JLB/seizure_vit_jlb_231108_iir_adjusted
Included Models
- ImageAssembler
- ViTForImageClassification