Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.beto_base_emotion_analysis_pipeline is a Castilian, Spanish model originally trained by UMUTeam.
How to use
pipeline = PretrainedPipeline("beto_base_emotion_analysis_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("beto_base_emotion_analysis_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | beto_base_emotion_analysis_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 411.8 MB |
References
https://huggingface.co/UMUTeam/beto-base-emotion-analysis
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification