Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.berna_bert_fato_tese_pipeline is a Portuguese model originally trained by DIACDE.
How to use
pipeline = PretrainedPipeline("berna_bert_fato_tese_pipeline", lang = "pt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("berna_bert_fato_tese_pipeline", lang = "pt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | berna_bert_fato_tese_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | pt |
| Size: | 408.2 MB |
References
https://huggingface.co/DIACDE/BERNA_BERT_FATO_TESE
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification