Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline is a English model originally trained by sara-nabhani.
How to use
pipeline = PretrainedPipeline("ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/sara-nabhani/ltp-roberta-large-defaultltp-roberta-large-default-char_ins
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification