Train and fine-tune NLP models using Hugging Face Transformers for Chinese/Traditional Chinese tasks.
Use this skill when the user needs to: (1) Train or fine-tune NER (Named Entity Recognition) models,
(2) Train or fine-tune embedding models for semantic search/similarity, (3) Train word segmentation models,
(4) Fine-tune BERT/RoBERTa for text classification, (5) Prepare datasets in proper format for NLP training,
(6) Evaluate NLP model performance, or (7) Export models to ONNX/production formats.
Supports Traditional Chinese with CKIP Lab models and multilingual embeddings with BGE models.