Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_uncased_turkish_offensivelanguage_v1_pipeline is a Turkish model originally trained by atakanince.
How to use
pipeline = PretrainedPipeline("distilbert_base_uncased_turkish_offensivelanguage_v1_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_base_uncased_turkish_offensivelanguage_v1_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | distilbert_base_uncased_turkish_offensivelanguage_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 249.5 MB |
References
https://huggingface.co/atakanince/distilbert-base-uncased-turkish-offensiveLanguage-v1
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification