Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ft_exlmr_pipeline is a Amharic model originally trained by Hailay.
How to use
pipeline = PretrainedPipeline("ft_exlmr_pipeline", lang = "am")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ft_exlmr_pipeline", lang = "am")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ft_exlmr_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | am |
| Size: | 907.8 MB |
References
https://huggingface.co/Hailay/FT_EXLMR
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification