Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sentiment_ohb3_xlm_roberta_hungarian_pipeline is a Hungarian model originally trained by NYTK.
How to use
pipeline = PretrainedPipeline("sentiment_ohb3_xlm_roberta_hungarian_pipeline", lang = "hu")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sentiment_ohb3_xlm_roberta_hungarian_pipeline", lang = "hu")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sentiment_ohb3_xlm_roberta_hungarian_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hu |
| Size: | 799.9 MB |
References
https://huggingface.co/NYTK/sentiment-ohb3-xlm-roberta-hungarian
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification