Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_russian_stock_sentiment_pipeline is a Russian model originally trained by hse-teddy-bear.
How to use
pipeline = PretrainedPipeline("xlm_roberta_russian_stock_sentiment_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_russian_stock_sentiment_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_russian_stock_sentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 816.2 MB |
References
https://huggingface.co/hse-teddy-bear/xlm-roberta-russian-stock-sentiment
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification