Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilingual_e5_language_detection_pipeline is a Multilingual model originally trained by Mike0307.
How to use
pipeline = PretrainedPipeline("multilingual_e5_language_detection_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multilingual_e5_language_detection_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multilingual_e5_language_detection_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 887.2 MB |
References
https://huggingface.co/Mike0307/multilingual-e5-language-detection
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification