Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.best_model_bert_uncasedbert_base_uncased_finetuned_sst2_pipeline is a English model originally trained by Tech-oriented.
How to use
pipeline = PretrainedPipeline("best_model_bert_uncasedbert_base_uncased_finetuned_sst2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("best_model_bert_uncasedbert_base_uncased_finetuned_sst2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | best_model_bert_uncasedbert_base_uncased_finetuned_sst2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.7 MB |
References
https://huggingface.co/Tech-oriented/best_model_bert_uncasedbert-base-uncased-finetuned-sst2
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification