Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tinyclip_vit_61m_32_text_29m_laion400m_pipeline is a English model originally trained by wkcn.
How to use
pipeline = PretrainedPipeline("tinyclip_vit_61m_32_text_29m_laion400m_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tinyclip_vit_61m_32_text_29m_laion400m_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tinyclip_vit_61m_32_text_29m_laion400m_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 277.2 MB |
References
https://huggingface.co/wkcn/TinyCLIP-ViT-61M-32-Text-29M-LAION400M
Included Models
- ImageAssembler
- CLIPForZeroShotClassification