Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.beto_spanish_binary_classification_pipeline
is a Castilian, Spanish model originally trained by hiiamsid.
How to use
pipeline = PretrainedPipeline("beto_spanish_binary_classification_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("beto_spanish_binary_classification_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
Model Name: | beto_spanish_binary_classification_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | es |
Size: | 411.7 MB |
References
https://huggingface.co/hiiamsid/BETO_es_binary_classification
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification