Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_shopee_sentiment_gadgets_pipeline is a Tagalog model originally trained by magixxixx.
How to use
pipeline = PretrainedPipeline("roberta_shopee_sentiment_gadgets_pipeline", lang = "tl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_shopee_sentiment_gadgets_pipeline", lang = "tl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_shopee_sentiment_gadgets_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tl |
| Size: | 409.4 MB |
References
https://huggingface.co/magixxixx/roberta-shopee-sentiment-gadgets
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification