abacaj/transformers-docker
Run, build, test transformer models using docker
This container helps machine learning engineers and researchers quickly set up a consistent, isolated environment for building, training, and running transformer models. It provides a pre-configured Python environment with PyTorch and CUDA, allowing users to install their project-specific dependencies once and reuse the same setup. This ensures that their models and datasets are preserved even across container restarts, providing stability for experimentation and deployment.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher who frequently works with transformer models and needs a stable, reproducible, and isolated environment to develop and test your projects.
Not ideal if you are not working with GPU-accelerated PyTorch or transformer models, or if you prefer managing your development environment without Docker.
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Dockerfile
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MIT
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Last pushed
May 02, 2023
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