Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilingual_toxic_text_detection_cc_pipeline is a Multilingual model originally trained by marianna13.
How to use
pipeline = PretrainedPipeline("multilingual_toxic_text_detection_cc_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multilingual_toxic_text_detection_cc_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multilingual_toxic_text_detection_cc_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 982.7 MB |
References
https://huggingface.co/marianna13/multilingual-toxic-text-detection-cc
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification