Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ofm_clip_base_patch32_cifar100_pipeline is a English model originally trained by yusx-swapp.
How to use
pipeline = PretrainedPipeline("ofm_clip_base_patch32_cifar100_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ofm_clip_base_patch32_cifar100_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ofm_clip_base_patch32_cifar100_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 521.5 MB |
References
https://huggingface.co/yusx-swapp/ofm-clip-base-patch32-cifar100
Included Models
- ImageAssembler
- CLIPForZeroShotClassification