Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.formality_classifier_mdeberta_v3_base_pipeline is a Multilingual model originally trained by LenDigLearn.
How to use
pipeline = PretrainedPipeline("formality_classifier_mdeberta_v3_base_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("formality_classifier_mdeberta_v3_base_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | formality_classifier_mdeberta_v3_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 815.0 MB |
References
https://huggingface.co/LenDigLearn/formality-classifier-mdeberta-v3-base
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification