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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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What is Telegram?

Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.

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