@@ -32,12 +32,32 @@ Install 🤗 Transformers for whichever deep learning library you're working wit
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You should install 🤗 Transformers in a [virtual environment](https://docs.python.org/3/library/venv.html). If you're unfamiliar with Python virtual environments, take a look at this [guide](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/). A virtual environment makes it easier to manage different projects, and avoid compatibility issues between dependencies.
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You should install 🤗 Transformers in a [virtual environment](https://docs.python.org/3/library/venv.html). If you're unfamiliar with Python virtual environments, take a look at this [guide](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/). A virtual environment makes it easier to manage different projects, and avoid compatibility issues between dependencies.
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Now you're ready to install 🤗 Transformers with the following command:
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Create a virtual environment with [uv](https://docs.astral.sh/uv/) (refer to [Installation](https://docs.astral.sh/uv/getting-started/installation/) for installation instructions), a fast Rust-based Python package and project manager.
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```bash
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uv venv my-env
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source my-env/bin/activate
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```
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Now you're ready to install 🤗 Transformers with pip or uv.
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<hfoptions id="install">
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<hfoption id="uv">
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```bash
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uv pip install transformers
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```
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</hfoption>
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<hfoption id="pip">
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```bash
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```bash
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pip install transformers
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pip install transformers
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```
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```
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</hfoption>
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</hfoptions>
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For GPU acceleration, install the appropriate CUDA drivers for [PyTorch](https://pytorch.org/get-started/locally) and TensorFlow(https://www.tensorflow.org/install/pip).
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For GPU acceleration, install the appropriate CUDA drivers for [PyTorch](https://pytorch.org/get-started/locally) and TensorFlow(https://www.tensorflow.org/install/pip).
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Run the command below to check if your system detects an NVIDIA GPU.
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Run the command below to check if your system detects an NVIDIA GPU.
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