Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.beto_sentiment_analysis_finetuned_onpremise_pipeline is a English model originally trained by Cristian-dcg.
How to use
pipeline = PretrainedPipeline("beto_sentiment_analysis_finetuned_onpremise_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("beto_sentiment_analysis_finetuned_onpremise_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | beto_sentiment_analysis_finetuned_onpremise_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 411.7 MB |
References
https://huggingface.co/Cristian-dcg/beto-sentiment-analysis-finetuned-onpremise
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification