Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.language_detection_fine_tuned_on_xlm_roberta_base_siddharthuchil_pipeline is a English model originally trained by SiddharthUchil.
How to use
pipeline = PretrainedPipeline("language_detection_fine_tuned_on_xlm_roberta_base_siddharthuchil_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("language_detection_fine_tuned_on_xlm_roberta_base_siddharthuchil_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | language_detection_fine_tuned_on_xlm_roberta_base_siddharthuchil_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 844.0 MB |
References
https://huggingface.co/SiddharthUchil/language-detection-fine-tuned-on-xlm-roberta-base
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification