Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sarcasm_classifier_gpt4_data_pipeline
is a English model originally trained by hallisky.
How to use
pipeline = PretrainedPipeline("sarcasm_classifier_gpt4_data_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sarcasm_classifier_gpt4_data_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | sarcasm_classifier_gpt4_data_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 1.3 GB |
References
https://huggingface.co/hallisky/sarcasm-classifier-gpt4-data
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification