Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tools_a6000_1_pipeline
is a English model originally trained by rose-e-wang.
How to use
pipeline = PretrainedPipeline("tools_a6000_1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tools_a6000_1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | tools_a6000_1_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 1.3 GB |
References
https://huggingface.co/rose-e-wang/tools_a6000_1
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification