Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tagalog_hatespeech_detection_pipeline is a Tagalog model originally trained by ggpt1006.
How to use
pipeline = PretrainedPipeline("tagalog_hatespeech_detection_pipeline", lang = "tl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tagalog_hatespeech_detection_pipeline", lang = "tl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tagalog_hatespeech_detection_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tl |
| Size: | 442.7 MB |
References
https://huggingface.co/ggpt1006/tl-hatespeech-detection
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification