Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_uncased_reuters21578_reducedto15_2_gram_pipeline is a English model originally trained by ardi555.
How to use
pipeline = PretrainedPipeline("bert_base_uncased_reuters21578_reducedto15_2_gram_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_uncased_reuters21578_reducedto15_2_gram_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_base_uncased_reuters21578_reducedto15_2_gram_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.5 MB |
References
https://huggingface.co/ardi555/bert_base_uncased_reuters21578_reducedto15_2-gram
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification