Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.convbert_base_turkish_cased_offensive_mlm_pipeline is a Turkish model originally trained by Overfit-GM.
How to use
pipeline = PretrainedPipeline("convbert_base_turkish_cased_offensive_mlm_pipeline", lang = "tr")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("convbert_base_turkish_cased_offensive_mlm_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | convbert_base_turkish_cased_offensive_mlm_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.1+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | tr | 
| Size: | 400.1 MB | 
References
https://huggingface.co/Overfit-GM/convbert-base-turkish-cased-offensive-mlm
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings