Description
Pretrained CamemBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.thainer_corpus_v2_base_model_pipeline
is a Thai model originally trained by pythainlp.
How to use
pipeline = PretrainedPipeline("thainer_corpus_v2_base_model_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("thainer_corpus_v2_base_model_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
Model Name: | thainer_corpus_v2_base_model_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | th |
Size: | 392.3 MB |
References
https://huggingface.co/pythainlp/thainer-corpus-v2-base-model
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertForTokenClassification