Description
Pretrained CamemBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tst_tfm_stm_pp_pipeline
is a Thai model originally trained by Ppxndpxdd.
How to use
pipeline = PretrainedPipeline("tst_tfm_stm_pp_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tst_tfm_stm_pp_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
Model Name: | tst_tfm_stm_pp_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | th |
Size: | 394.4 MB |
References
https://huggingface.co/Ppxndpxdd/tst_tfm_stm_pp
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertForSequenceClassification