Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_bert_base_tibetan_pipeline is a Tibetan model originally trained by KoichiYasuoka.
How to use
pipeline = PretrainedPipeline("sent_bert_base_tibetan_pipeline", lang = "bo")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_bert_base_tibetan_pipeline", lang = "bo")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_bert_base_tibetan_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | bo |
| Size: | 406.4 MB |
References
https://huggingface.co/KoichiYasuoka/bert-base-tibetan
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings