Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.danish_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline is a English model originally trained by rnribeiro.
How to use
pipeline = PretrainedPipeline("danish_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("danish_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | danish_mrm8488_distilroberta_finetuned_financial_news_sentiment_analysis_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 306.8 MB |
References
https://huggingface.co/rnribeiro/DA-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings