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