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Hi @BolinLai and team,
Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2312.03849 (feel free to claim the paper s…
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Are there any plans to release the trained AnyLoc model on torch.hub? It is quite simple to do and allows people to use your model with two lines of code, allowing more people to use your model and he…
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Hi @cs-mshah,
Niels here from the open-source team at Hugging Face. I discovered your work as it was submitted on AK's daily papers: https://huggingface.co/papers/2409.14677. The paper page lets pe…
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Hi @XuanGhahahaha,
Niels here from the open-source team at Hugging Face. I discovered your work through AK's daily papers: https://huggingface.co/papers/2409.13591.
It'd be great to make the che…
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Hi @MemorySlices and team,
Niels here from the open-source team at Hugging Face. I discovered your work through the paper page: https://huggingface.co/papers/2405.14793 (feel free to claim the pape…
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Hi @carlosh93,
I'm Niels and work as part of the open-source team at Hugging Face 🤗. I discovered through ECCV (congrats!) and indexed the paper page here: https://huggingface.co/papers/2407.13036.…
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Hello @yehonathanlitman 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered it through AK's daily papers: https://huggingface.co/papers/2409.15273. The paper page le…
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When runing hubconf.py at this line `model = torch.hub.load('yvanyin/metric3d', 'metric3d_vit_small', pretrain=True)`, it returns a runtime errror.
```
Using cache found in C:\Users\xxxxx/.cache\…
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## ❓ Questions and Help
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I have a working version