Description
Pretrained VisionEncoderDecoderForImageCaptioning, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.trocr_medieval_castilian_hybrida_pipeline is a English model originally trained by medieval-data.
How to use
pipeline = PretrainedPipeline("trocr_medieval_castilian_hybrida_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("trocr_medieval_castilian_hybrida_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | trocr_medieval_castilian_hybrida_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.4 GB |
References
https://huggingface.co/medieval-data/trocr-medieval-castilian-hybrida
Included Models
- ImageAssembler
- VisionEncoderDecoderForImageCaptioning