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nanoVLM: The simplest repository to train your VLM in pure PyTorch

nanoVLM is the simplest way to get started with training your very own Vision Language Model (VLM) using pure PyTorch. It is lightweight toolkit which allows you to launch a VLM training on a free tier colab notebook.


πŸ“ŒNotebook: https://colab.research.google.com/github/huggingface/nanoVLM/blob/main/nanoVLM.ipynb
πŸ“Œ Blog: https://huggingface.co/blog/nanovlm πŸ“–



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nanoVLM: The simplest repository to train your VLM in pure PyTorch

nanoVLM is the simplest way to get started with training your very own Vision Language Model (VLM) using pure PyTorch. It is lightweight toolkit which allows you to launch a VLM training on a free tier colab notebook.


πŸ“ŒNotebook: https://colab.research.google.com/github/huggingface/nanoVLM/blob/main/nanoVLM.ipynb
πŸ“Œ Blog: https://huggingface.co/blog/nanovlm πŸ“–

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A Telegram spokesman declined to comment on the bond issue or the amount of the debt the company has due. The spokesman said Telegram’s equipment and bandwidth costs are growing because it has consistently posted more than 40% year-to-year growth in users.

Why Telegram?

Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.

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