> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://fr.nvidia-localization.ferndocs.com/fr/nemo/rl/latest/nemo-rl-package-info/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://fr.nvidia-localization.ferndocs.com/_mcp/server. # nemo\_rl.package\_info ## Contenu du Module ### Données `MAJOR` `MINOR` `PATCH` `PRE_RELEASE` `VERSION` `__shortversion__` `__version__` `__package_name__` `__contact_names__` `__contact_emails__` `__homepage__` `__repository_url__` `__download_url__` `__description__` `__license__` `__keywords__` ### API ```python nemo_rl.package_info.MAJOR ``` **Valeur**: `0` ```python nemo_rl.package_info.MINOR ``` **Valeur**: `4` ```python nemo_rl.package_info.PATCH ``` **Valeur**: `0` ```python nemo_rl.package_info.PRE_RELEASE ``` **Valeur**: `rc0` ```python nemo_rl.package_info.VERSION ``` **Valeur**: `()` ```python nemo_rl.package_info.__shortversion__ ``` **Valeur**: `join(...)` ```python nemo_rl.package_info.__version__ ``` **Valeur**: `None` ```python nemo_rl.package_info.__package_name__ ``` **Valeur**: `nemo_rl` ```python nemo_rl.package_info.__contact_names__ ``` **Valeur**: `NVIDIA` ```python nemo_rl.package_info.__contact_emails__ ``` **Valeur**: `nemo-tookit@nvidia.com` ```python nemo_rl.package_info.__homepage__ ``` **Valeur**: `https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/` ```python nemo_rl.package_info.__repository_url__ ``` **Valeur**: `https://github.com/NVIDIA-NeMo/RL` ```python nemo_rl.package_info.__download_url__ ``` **Valeur**: `https://github.com/NVIDIA-NeMo/RL/releases` ```python nemo_rl.package_info.__description__ ``` **Valeur**: `NeMo-RL - une boîte à outils pour l'alignement de modèles` ```python nemo_rl.package_info.__license__ ``` **Valeur**: `Apache2` ```python nemo_rl.package_info.__keywords__ ``` **Valeur**: `apprentissage profond, apprentissage automatique, gpu, NLP, NeMo, nvidia, pytorch, torch, langue, apprentissage par renforcement, RLHF, modélisation de préférences, SteerLM, DPO`