Pinned Repositories
2021-dialogue-summary-competition
[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 및 추론 코드를 공유하기 위한 레포입니다.
AutoCorrectMisLabeling
Auto-correcting mislabeled data using HMM
Dialog-ELECTRA-NER
Named entity recognition model with Dialog-ELECTRA
Dialog-KoELECTRA
Korean conversational language model based on ELECTRA
duplicate_company
ET-BERT
The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.
exllama
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
exllamav2
A fast inference library for running LLMs locally on modern consumer-class GPUs
FloorPlanRecognition
huggingface_konlpy
Training Transformers of Huggingface with KoNLPy
krevas's Repositories
krevas/FloorPlanRecognition
krevas/Dialog-ELECTRA-NER
Named entity recognition model with Dialog-ELECTRA
krevas/LLM-Pretrain-SFT
Scripts of LLM pre-training and fine-tuning (w/wo LoRA)
krevas/2021-dialogue-summary-competition
[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 및 추론 코드를 공유하기 위한 레포입니다.
krevas/AutoCorrectMisLabeling
Auto-correcting mislabeled data using HMM
krevas/Dialog-KoELECTRA
Korean conversational language model based on ELECTRA
krevas/duplicate_company
krevas/ET-BERT
The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.
krevas/exllama
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
krevas/exllamav2
A fast inference library for running LLMs locally on modern consumer-class GPUs
krevas/huggingface_konlpy
Training Transformers of Huggingface with KoNLPy
krevas/KoLLaVA
KoLLaVA: Korean Large Language-and-Vision Assistant (feat.LLaVA)
krevas/krevas
krevas/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
krevas/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.