[docs] uv install (#35821)

uv install
This commit is contained in:
Steven Liu
2025-01-27 08:49:28 -08:00
committed by GitHub
parent cd6591bfb2
commit c550a1c640

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@@ -32,12 +32,32 @@ Install 🤗 Transformers for whichever deep learning library you're working wit
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. 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.
Now you're ready to install 🤗 Transformers with the following command: 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.
```bash
uv venv my-env
source my-env/bin/activate
```
Now you're ready to install 🤗 Transformers with pip or uv.
<hfoptions id="install">
<hfoption id="uv">
```bash
uv pip install transformers
```
</hfoption>
<hfoption id="pip">
```bash ```bash
pip install transformers pip install transformers
``` ```
</hfoption>
</hfoptions>
For GPU acceleration, install the appropriate CUDA drivers for [PyTorch](https://pytorch.org/get-started/locally) and TensorFlow(https://www.tensorflow.org/install/pip). For GPU acceleration, install the appropriate CUDA drivers for [PyTorch](https://pytorch.org/get-started/locally) and TensorFlow(https://www.tensorflow.org/install/pip).
Run the command below to check if your system detects an NVIDIA GPU. Run the command below to check if your system detects an NVIDIA GPU.