初始化项目，由ModelHub XC社区提供模型

Model: iSolver-AI/FEnet
Source: Original Platform

README.md

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+---
+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