Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.copy_distilbert_base_uncased_emotion_pipeline is a English model originally trained by Breezeee.
How to use
pipeline = PretrainedPipeline("copy_distilbert_base_uncased_emotion_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("copy_distilbert_base_uncased_emotion_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | copy_distilbert_base_uncased_emotion_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 249.5 MB |
References
https://huggingface.co/Breezeee/copy-distilbert-base-uncased-emotion
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification