Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.esperberto_malgranda_pipeline
is a Esperanto model originally trained by hashk1.
How to use
pipeline = PretrainedPipeline("esperberto_malgranda_pipeline", lang = "eo")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("esperberto_malgranda_pipeline", lang = "eo")
val annotations = pipeline.transform(df)
Model Information
Model Name: | esperberto_malgranda_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | eo |
Size: | 308.3 MB |
References
https://huggingface.co/hashk1/EsperBERTo-malgranda
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings