Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.muril_base_cased_hate_speech_ben_hin_pipeline is a Bengali model originally trained by abirmondalind.
How to use
pipeline = PretrainedPipeline("muril_base_cased_hate_speech_ben_hin_pipeline", lang = "bn")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("muril_base_cased_hate_speech_ben_hin_pipeline", lang = "bn")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | muril_base_cased_hate_speech_ben_hin_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | bn |
| Size: | 892.7 MB |
References
https://huggingface.co/abirmondalind/muril-base-cased-hate-speech-ben-hin
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification