UEnv client for evaluation, trajectory collection, environment publishing and training integration. Install with python -m pip install -U uenv-bridge, then run uenv --help. For local training, install in your existing PyTorch, VeRL and vLLM environment. GPU training frameworks and model weights are prepared separately. Documentation: https://uenv.io
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Release files for uenv-bridge 0.2.5
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| uenv_bridge-0.2.5.tar.gz | 136.0 kB | With provenance | Details |
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| uenv_bridge-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 293.8 kB
Release files / uenv_bridge-0.2.5.tar.gz
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