Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.latte_mc_bert_base_thai_ws_pipeline is a Thai model originally trained by yacht.
How to use
pipeline = PretrainedPipeline("latte_mc_bert_base_thai_ws_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("latte_mc_bert_base_thai_ws_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | latte_mc_bert_base_thai_ws_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | th |
| Size: | 1.1 GB |
References
https://huggingface.co/yacht/latte-mc-bert-base-thai-ws
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification