Description
Pretrained VisionEncoderDecoderForImageCaptioning, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.trocr_base_handwritten_hist_swe_2_pipeline is a Swedish model originally trained by Riksarkivet.
How to use
pipeline = PretrainedPipeline("trocr_base_handwritten_hist_swe_2_pipeline", lang = "sv")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("trocr_base_handwritten_hist_swe_2_pipeline", lang = "sv")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | trocr_base_handwritten_hist_swe_2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sv |
| Size: | 1.4 GB |
References
https://huggingface.co/Riksarkivet/trocr-base-handwritten-hist-swe-2
Included Models
- ImageAssembler
- VisionEncoderDecoderForImageCaptioning