Description
Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sloberta_slo_word_spelling_annotator_pipeline is a Slovenian model originally trained by cjvt.
How to use
pipeline = PretrainedPipeline("sloberta_slo_word_spelling_annotator_pipeline", lang = "sl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sloberta_slo_word_spelling_annotator_pipeline", lang = "sl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sloberta_slo_word_spelling_annotator_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sl |
| Size: | 412.1 MB |
References
https://huggingface.co/cjvt/SloBERTa-slo-word-spelling-annotator
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertEmbeddings