--- 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,仅输入编号的论文: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