Description
Pretrained VisionEncoderDecoderForImageCaptioning, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.vit_swin_base_224_gpt2_image_captioning_pipeline is a English model originally trained by Abdou.
How to use
pipeline = PretrainedPipeline("vit_swin_base_224_gpt2_image_captioning_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("vit_swin_base_224_gpt2_image_captioning_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | vit_swin_base_224_gpt2_image_captioning_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/Abdou/vit-swin-base-224-gpt2-image-captioning
Included Models
- ImageAssembler
- VisionEncoderDecoderForImageCaptioning