Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.test_esperberto_small_pipeline is a Esperanto model originally trained by pierric.
How to use
pipeline = PretrainedPipeline("test_esperberto_small_pipeline", lang = "eo")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("test_esperberto_small_pipeline", lang = "eo")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | test_esperberto_small_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | eo |
| Size: | 308.6 MB |
References
https://huggingface.co/pierric/test-EsperBERTo-small
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings