Fetch transformers, HF download etc. via Torrent with uv run pirateface (github.com)

A new package called Pirate Face has been introduced, enabling seamless torrent downloads for Hugging Face models without any code changes. By simply adding "uv run --with pirateface" to the existing Python script or installing it via pip, users can automatically retrieve models from BitTorrent swarms. This integration maintains compatibility with the usual Hugging Face API, ensuring that models can still be downloaded with commands like `AutoModelForCausalLM.from_pretrained("org/model")`. Additionally, files downloaded through Pirate Face are verified against Hugging Face’s SHA-256 and SHA-1 checksums to ensure integrity, providing a fallback to the official Hugging Face servers if issues arise. This development is significant for the AI/ML community as it introduces a decentralized approach to model distribution, potentially alleviating the strain on Hugging Face servers and enhancing download speeds through peer-to-peer sharing. The implementation is straightforward, requiring no alterations to existing workflows and offering user-friendly configuration options through environment variables. With this innovative solution, users can enjoy improved access to a wider array of models while benefiting from network reliability bolstered by the torrent ecosystem.