Description
Pretrained DeBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mdeberta_v3_ud_thai_pud_upos_pipeline is a Thai model originally trained by Pavarissy.
How to use
pipeline = PretrainedPipeline("mdeberta_v3_ud_thai_pud_upos_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mdeberta_v3_ud_thai_pud_upos_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mdeberta_v3_ud_thai_pud_upos_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | th |
| Size: | 807.4 MB |
References
https://huggingface.co/Pavarissy/mdeberta-v3-ud-thai-pud-upos
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForTokenClassification