Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mdistilbertv3_1_sentiment_pipeline is a Korean model originally trained by hun3359.
How to use
pipeline = PretrainedPipeline("mdistilbertv3_1_sentiment_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mdistilbertv3_1_sentiment_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mdistilbertv3_1_sentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 623.6 MB |
References
https://huggingface.co/hun3359/mdistilbertV3.1-sentiment
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification