# Lightweight Optimization

This is a model based on the Hugging Face Transformers library, optimized using Unsloth. Specific functionalities and use cases require further information.

This model is an efficient fine-tuning model optimized based on the TRL (Transformer Reinforcement Learning) library, focusing on the application of reinforcement learning in Transformer models.

KoELECTRA is a Korean pre-trained language model based on the ELECTRA architecture, optimized for Korean natural language processing tasks.

Japanese processing pipeline optimized for CPU, including tokenization, part-of-speech tagging, dependency parsing, named entity recognition, etc.

spaCy's CPU-optimized Portuguese processing pipeline, including tokenization, POS tagging, dependency parsing, named entity recognition, etc.

This is a Spanish subset model extracted from distilbert-base-multilingual-cased, a distilled version of the BERT base multilingual model with a smaller parameter size while retaining core functionality.