Instructions to use wogkr810/mnm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wogkr810/mnm with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="wogkr810/mnm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("wogkr810/mnm") model = AutoModelForQuestionAnswering.from_pretrained("wogkr810/mnm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from wogkr810/mnm: direct link, hf CLI and curl.
- Browser
- Download file 493 Bytes
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https://huggingface.co/wogkr810/mnm/resolve/main/README.md
- Command line
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hf download hf://wogkr810/mnm/README.md
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curl -L -o README.md https://huggingface.co/wogkr810/mnm/resolve/main/README.md
493 Bytes
Model
KLUE MRC 대회에서 사용한 Reader SOTA모델을 사용하여 파인튜닝을 진행했습니다.
- 데이터셋 : 태깅 이후 구축한 데이터셋에서 전처리 및 Augmentation 적용
- Huggingface : MRC Reader SOTA 모델
- Github Issue : MRC Redaer SOTA 모델 설명