Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.adv_ssm_hw1_bitfitpara_smalldata_1726341791_pipeline is a English model originally trained by pristinawang.
How to use
pipeline = PretrainedPipeline("adv_ssm_hw1_bitfitpara_smalldata_1726341791_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("adv_ssm_hw1_bitfitpara_smalldata_1726341791_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | adv_ssm_hw1_bitfitpara_smalldata_1726341791_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 300.6 MB |
References
https://huggingface.co/pristinawang/adv-ssm-hw1-bitfitPara-smallData-1726341791
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification