Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_telugu_transliterate_pipeline is a Telugu model originally trained by anishka.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_telugu_transliterate_pipeline", lang = "te")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_telugu_transliterate_pipeline", lang = "te")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_telugu_transliterate_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | te |
| Size: | 790.9 MB |
References
https://huggingface.co/anishka/xlm-roberta-base-te-transliterate
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification