Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.guaran_bert_tiny_cased_pipeline is a Guarani model originally trained by mmaguero.
How to use
pipeline = PretrainedPipeline("guaran_bert_tiny_cased_pipeline", lang = "gn")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("guaran_bert_tiny_cased_pipeline", lang = "gn")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | guaran_bert_tiny_cased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | gn |
| Size: | 34.5 MB |
References
https://huggingface.co/mmaguero/gn-bert-tiny-cased
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings