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nielsr (Niels Rogge)

Mainly interested in diving into complex Github repos and making AI easier and more accessible to everyone

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nielsr (Niels Rogge) Output IDs: torch.Size([32]), tensor([ 101, 1, 2222, 2213, 102, 103, 103, 103, 103, 103, 103, 103,\n 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103,\n 103, 103, 103, 103, 103, 103, 103, 103])\n#> Output Mask: torch.Size([32]), tensor([1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0])\n\n/usr/local/lib/python3.10/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling\n warnings.warn(\nTraceback (most recent call last):\n File \"/home/user/app/app.py\", line 32, in <module>\n paper_list = PaperList()\n File \"/home/user/app/papers.py\", line 39, in __init__\n self.df_raw = self.get_df()\n File \"/home/user/app/papers.py\", line 45, in get_df\n left=datasets.load_dataset(\"ICLR2024/ICLR2024-papers\", split=\"train\").to_pandas(),\n File \"/usr/local/lib/python3.10/site-packages/datasets/load.py\", line 2587, in load_dataset\n builder_instance = load_dataset_builder(\n File \"/usr/local/lib/python3.10/site-packages/datasets/load.py\", line 2259, in load_dataset_builder\n dataset_module = dataset_module_factory(\n File \"/usr/local/lib/python3.10/site-packages/datasets/load.py\", line 1910, in dataset_module_factory\n raise e1 from None\n File \"/usr/local/lib/python3.10/site-packages/datasets/load.py\", line 1892, in dataset_module_factory\n ).get_module()\n File \"/usr/local/lib/python3.10/site-packages/datasets/load.py\", line 1198, in get_module\n hfh_dataset_info = HfApi(config.HF_ENDPOINT).dataset_info(\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py\", line 114, in _inner_fn\n return fn(*args, **kwargs)\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/hf_api.py\", line 2366, in dataset_info\n return DatasetInfo(**data)\n File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/hf_api.py\", line 799, in __init__\n self.tags = kwargs.pop(\"tags\")\nKeyError: 'tags'\n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"nielsr-iclr2024-papers.hf.space","stage":"READY"}]},"title":"ICLR2024 Papers","isLikedByUser":false,"originRepo":{"name":"ICLR2024/ICLR2024-papers","author":{"_id":"65fdc6ac3d247974ba39ba85","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60f1abe7544c2adfd699860c/HqUrHY9EZRGK12XUY9ILG.png","fullname":"ICLR2024","name":"ICLR2024","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":14,"isUserFollowing":false}},"trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"},{"author":"nielsr","authorData":{"_id":"5f1158120c833276f61f1a84","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1608042047613-5f1158120c833276f61f1a84.jpeg","fullname":"Niels 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template","ai_category":"Other","trendingScore":0,"tags":["docker","region:us"],"featured":false,"visibility":"public"},{"author":"nielsr","authorData":{"_id":"5f1158120c833276f61f1a84","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1608042047613-5f1158120c833276f61f1a84.jpeg","fullname":"Niels Rogge","name":"nielsr","type":"user","isPro":false,"isHf":true,"isHfAdmin":false,"isMod":false,"followerCount":1273,"isUserFollowing":false},"colorFrom":"yellow","colorTo":"red","createdAt":"2026-07-12T12:50:14.000Z","disabled":false,"emoji":"🎯","id":"nielsr/mYIhm3VO5y","lastModified":"2026-07-12T12:51:10.000Z","likes":0,"pinned":false,"private":false,"sdk":"static","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":null,"requested":null},"replicas":{"requested":1,"current":1}},"title":"Repro - Video-o3: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning","isLikedByUser":false,"ai_short_description":"Track and sync project notes with AI 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