Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_sentiment_analysis_project_705021428_pipeline is a English model originally trained by ramnika003.
How to use
pipeline = PretrainedPipeline("autotrain_sentiment_analysis_project_705021428_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_sentiment_analysis_project_705021428_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_sentiment_analysis_project_705021428_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/ramnika003/autotrain-sentiment_analysis_project-705021428
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification