Description
Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.deberta_v3_base_civil_comments_wilds_5k_pipeline
is a English model originally trained by shlomihod.
How to use
pipeline = PretrainedPipeline("deberta_v3_base_civil_comments_wilds_5k_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("deberta_v3_base_civil_comments_wilds_5k_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | deberta_v3_base_civil_comments_wilds_5k_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 611.0 MB |
References
https://huggingface.co/shlomihod/deberta-v3-base-civil-comments-wilds-5k
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification