Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.esperberto_small_sayula_popoluca_pipeline is a Esperanto model originally trained by Xenova.
How to use
pipeline = PretrainedPipeline("esperberto_small_sayula_popoluca_pipeline", lang = "eo")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("esperberto_small_sayula_popoluca_pipeline", lang = "eo")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | esperberto_small_sayula_popoluca_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | eo |
| Size: | 311.4 MB |
References
https://huggingface.co/Xenova/EsperBERTo-small-pos
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification