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 0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| uenv_bridge-0.2.1.tar.gz | 134.8 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| uenv_bridge-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 291.2 kB
Release files / uenv_bridge-0.2.1.tar.gz
| Download URL | uenv_bridge-0.2.1.tar.gz |
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| Size | 156.4 kB |
| Tags | Python 3 |
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