Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.twbeto_v0_pipeline
is a Castilian, Spanish model originally trained by Ramavill.
How to use
pipeline = PretrainedPipeline("twbeto_v0_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("twbeto_v0_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
Model Name: | twbeto_v0_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | es |
Size: | 304.7 MB |
References
https://huggingface.co/Ramavill/twBETO_v0
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings