Description
Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.vit_base_patch16_224_finetuned_kvasirv2_colonoscopy_pipeline is a English model originally trained by mrm8488.
How to use
pipeline = PretrainedPipeline("vit_base_patch16_224_finetuned_kvasirv2_colonoscopy_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("vit_base_patch16_224_finetuned_kvasirv2_colonoscopy_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | vit_base_patch16_224_finetuned_kvasirv2_colonoscopy_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 321.3 MB |
References
https://huggingface.co/mrm8488/vit-base-patch16-224_finetuned-kvasirv2-colonoscopy
Included Models
- ImageAssembler
- ViTForImageClassification