Description
Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tinyclip_vit_8m_16_text_3m_yfcc15m_pipeline
is a English model originally trained by wkcn.
How to use
pipeline = PretrainedPipeline("tinyclip_vit_8m_16_text_3m_yfcc15m_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tinyclip_vit_8m_16_text_3m_yfcc15m_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | tinyclip_vit_8m_16_text_3m_yfcc15m_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 57.4 MB |
References
https://huggingface.co/wkcn/TinyCLIP-ViT-8M-16-Text-3M-YFCC15M
Included Models
- ImageAssembler
- CLIPForZeroShotClassification