Instructions to use yuneun92/koCSN_SAPR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuneun92/koCSN_SAPR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yuneun92/koCSN_SAPR")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yuneun92/koCSN_SAPR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download web/user.html from yuneun92/koCSN_SAPR: direct link, hf CLI and curl.
- Browser
- Download file 935 Bytes
-
https://huggingface.co/yuneun92/koCSN_SAPR/resolve/main/web/user.html
- Command line
-
hf download hf://yuneun92/koCSN_SAPR/web/user.html
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curl -L -o user.html https://huggingface.co/yuneun92/koCSN_SAPR/resolve/main/web/user.html
935 Bytes
| <html lang="ko"> | |
| <head> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <meta charset="utf-8"> | |
| <title>Spakers in Text</title> | |
| <link rel="stylesheet" href="{{ url_for('static', path='css/index.css') }}"> | |
| </head> | |
| <body> | |
| <div class="background"> | |
| <div class="header"><a href="/"><span class="title">Nouvel : Novel for you</span></a></div> | |
| <div class="empty"></div> | |
| <div class="box"> | |
| <div class="subtitle">등장인물 명단</div> | |
| <div class="body"> | |
| </div> | |
| <div class="transformbox"> | |
| <button onclick="handleButtonClick()" class="transformButton"><span>장면으로 변환하기</span></button> | |
| </div> | |
| </div> | |
| <div class="foot"> | |
| <div class="footer-text"> | |
| <span>고려대학교 지능정보 SW 아카데미 5조</span> | |
| </div> | |
| </div> | |
| <script src="../static/js/user.js"></script> | |
| </body> | |
| </html> |