Description
Pretrained CamemBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wangchanberta_finetuned_sentiment_pipeline is a Thai model originally trained by poom-sci.
How to use
pipeline = PretrainedPipeline("wangchanberta_finetuned_sentiment_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wangchanberta_finetuned_sentiment_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wangchanberta_finetuned_sentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | th |
| Size: | 394.4 MB |
References
https://huggingface.co/poom-sci/WangchanBERTa-finetuned-sentiment
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertForSequenceClassification