Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.qd_tweet_convbert_base_turkish_pipeline
is a English model originally trained by Izzet.
How to use
pipeline = PretrainedPipeline("qd_tweet_convbert_base_turkish_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("qd_tweet_convbert_base_turkish_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | qd_tweet_convbert_base_turkish_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 402.3 MB |
References
https://huggingface.co/Izzet/qd_tweet_convbert-base-turkish
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification