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Supports private repos with HF_TOKEN and custom Docker containers.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- uv venv .my-env\n- pip install \"transformers[torch]\"\n- uv pip install \"transformers[torch]\"\n- git clone https://github.com/huggingface/transformers.git\n\nRequirements and caveats from upstream:\n- Transformers works with Python 3.10+, and [PyTorch](https://pytorch.org/get-started/locally/) 2.4+.\n- Create and activate a virtual environment with [venv](https://docs.python.org/3/library/venv.html) or [uv](https://docs.astral.sh/uv/), a fast Rust-based Python package and project manager.\n- python -m venv .my-env\n\nBasic usage or getting-started notes:\n- We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be\n- py\n- # venv\n\n- Source: https://github.com/huggingface/transformers\n- Extracted from upstream docs: 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