Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.granite_guardian_hap_38m_pipeline is a English model originally trained by ibm-granite.
How to use
pipeline = PretrainedPipeline("granite_guardian_hap_38m_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("granite_guardian_hap_38m_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | granite_guardian_hap_38m_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 145.4 MB |
References
https://huggingface.co/ibm-granite/granite-guardian-hap-38m
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification