README.md

---
license: mit
# language:
# - zh
# metrics:
# - accuracy
# base_model:
# - deepseek-ai/DeepSeek-V3
# - deepseek-ai/DeepSeek-V3-Base
# base_model_relation: merge
library_name: transformers
# pipeline_tag: image-text-to-text
# widget:
# - src: >-
#     https://huggingface.co/iSolver-AI/FEnet/resolve/main/xiaohongshu-girls-enndme-1.jpg
#   example_title: enndme-pic-1
#   output:
#     text: Hello my name is Julien
# - src: >-
#     https://huggingface.co/iSolver-AI/FEnet/resolve/main/xiaohongshu-girls-enndme-2.jpg
#   example_title: enndme-pic-2
#   output:
#   - label: POSITIVE
#     score: 0.8
# - src: >-
#     https://huggingface.co/iSolver-AI/FEnet/resolve/main/xiaohongshu-girls-enndme-3.jpg
#   example_title: enndme-pic-3
#   output:
#   - label: POSITIVE
#     score: 0.8
# tags:
# - mlx
# - llama
# - llama3
# - transformers
# - Reward Model
# - conversational

---

test webhook

# Paper: 
- ✅来源于HF+arxiv，完整输入HF链接的论文：[F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching](https://huggingface.co/papers/2410.06885)
- ✅来源于HF+arxiv，完整输入arxiv链接的论文：https://arxiv.org/abs/2410.11817
- 来源于HF+arxiv，仅输入标题+编号的论文：[Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction](2409.18124)
- 来源于HF+arxiv，仅输入标题的论文：Exploring Model Kinship for Merging Large Language Models
- ✅来源于HF+arxiv，输入「arxiv:编号」的论文：arxiv:2410.12381
- ✅来源于HF+arxiv，输入链接不带https://前缀：arxiv.org/abs/2410.09401

- ✅仅来源于arxiv，完整输入arxiv链接的论文：[Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition](https://arxiv.org/abs/2409.12883)，因为有READme引用而自动导入该paper到Daily Paper,变成arxiv和HF都有的论文
- ✅仅来源于arxiv，完整输入arxiv链接的论文：[Aharonov-Bohm effects on the GUP framework](https://arxiv.org/abs/2410.11888)，会因为有READme引用而自动导入该paper到Daily Paper
- 仅来源于arxiv，仅输入编号的论文：2409.00821
- 仅来源于arxiv，仅输入标题的论文：An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation

- 非arxiv论文：
@inproceedings{DBLP:conf/nips/XuLCLQ21,
  author={Yong Xu and Feng Li and Zhile Chen and Jinxiu Liang and Yuhui Quan},
  title={Encoding Spatial Distribution of Convolutional Features for Texture Representation},
  year={2021},
  cdate={1609459200000},
  pages={22732-22744},
  url={https://proceedings.neurips.cc/paper/2021/hash/c04c19c2c2474dbf5f7ac4372c5b9af1-Abstract.html},
  booktitle={NeurIPS},
  crossref={conf/nips/2021}
}


> 数据集标题record：allenai/WildBench

> 模型标题record：==black-forest-labs/FLUX.1-dev==

> 数据集标题record：LLM360/TxT360 sasad