Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.absa_turkish_bert_based_small_pipeline
is a Turkish model originally trained by Sengil.
How to use
pipeline = PretrainedPipeline("absa_turkish_bert_based_small_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("absa_turkish_bert_based_small_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
Model Name: | absa_turkish_bert_based_small_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | tr |
Size: | 414.5 MB |
References
https://huggingface.co/Sengil/ABSA-Turkish-bert-based-small
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification