Instructions to use DISLab/ReFeed-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DISLab/ReFeed-8B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="DISLab/ReFeed-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DISLab/ReFeed-8B") model = AutoModelForCausalLM.from_pretrained("DISLab/ReFeed-8B") - Notebooks
- Google Colab
- Kaggle
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<b style="font-size: 40px;">ReFeed-8B</b>
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##
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```python
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<b style="font-size: 40px;">ReFeed-8B</b>
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</div>
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## Recommended Prompt
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```python
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```
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## 🖇️ Citation
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Please consider citation if our paper is useful in your research.
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```BibTeX
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@inproceedings{yun2025refeed,
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title={ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback},
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author={Taewon Yun and Jihwan Oh and Hyangsuk Min and Yuho Lee and Jihwan Bang and Jason Cai and Hwanjun Song},
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booktitle={Second Conference on Language Modeling},
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year={2025},
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url={https://openreview.net/forum?id=6BGDGKZN7q}
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}
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```
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