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How to install huggingface/trl. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
huggingface/trl Installation Guide
How to install huggingface/trl. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for huggingface/trl. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i huggingface/trlor
Install via npx
npx @hexmos/ipm i huggingface/trlPrerequisites
Python
languageVersion: >=3.6.0
pip
package_managerPackage installer for Python.
git
system_toolVersion: 2.30.1
CUDA
system_packageProvides GPU acceleration for deep learning.
cuDNN
system_packageDeep neural network library that provides optimized implementations of common algorithms and functions. It is often used in conjunction with CUDA to accelerate deep learning tasks on GPUs.
Manual Installation Methods
Manual installation instructions. How to install from GitHub source.
Source Code Installation
git clone https://github.com/huggingface/trl.git
cd trl/
pip install -e .[dev]Python Package Installation
pip install trlPost Installation Steps
- Start the server using `python app.py` (or your chosen command). This will start the application.
- If you're using a database, run migrations to ensure data consistency: `python manage.py makemigrations` and then `python manage.py migrate`.
- Access the UI by visiting [your_app_url] (replace with your actual URL).