Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.quberta_pipeline is a Quechua model originally trained by Llamacha.
How to use
pipeline = PretrainedPipeline("quberta_pipeline", lang = "qu")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("quberta_pipeline", lang = "qu")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | quberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | qu |
| Size: | 311.2 MB |
References
https://huggingface.co/Llamacha/QuBERTa
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings