Instructions to use gomgomcode/material_patent_roberta_simcse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gomgomcode/material_patent_roberta_simcse with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("gomgomcode/material_patent_roberta_simcse") model = RobertaForCL.from_pretrained("gomgomcode/material_patent_roberta_simcse") - Notebooks
- Google Colab
- Kaggle
| title: Patent Roberta Simcse Demo | |
| emoji: ๐ฆ | |
| colorFrom: purple | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 4.19.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Demo | |
| https://huggingface.co/spaces/gomgomcode/patent_roberta_simcse_demo | |
| # Model | |
| https://huggingface.co/gomgomcode/material_patent_roberta_simcse | |
| - 36๋ง์ฌ๊ฑด ํนํ๋ฐ์ดํฐ ๋ณธ๋ฌธ ์ ์ฒ๋ฆฌ ํ basemodel ํ์ต(using roberta) | |
| (https://arxiv.org/abs/1907.11692) | |
| - sentence embedding model ํ์ต (using SimCSE) | |
| (https://arxiv.org/abs/2104.08821) | |
| - ์ ๋ชฉ, ๋ณธ๋ฌธ, ์์ฝ๋ฐ์ดํฐ ํ์ฉํ์ฌ semi-supervised learning ์งํ | |
| # Service | |
| - ํนํ๋ฐ์ดํฐ๋ฒ ์ด์ค ์ฌ์ embedding | |
| - faiss index ์์ฑ | |
| - ๊ฒ์์ด ์๋ฒ ๋ฉ ํ faiss index ํ์ฉ L2 distance ์์ top_k ๊ฒฐ๊ณผ ์ถ๋ ฅ | |