f91ef8f9b0* fix(studio): lazy-import AutoConfig in model_config.py to fix transformers 5.x version switch Move `from transformers import AutoConfig` from module level to inside load_model_config() where it is actually used. model_config.py is transitively imported at module load time via: core/inference/__init__ → llama_cpp → utils.models → model_config In inference subprocesses (mp.spawn), this chain runs before _activate_transformers_version() can prepend .venv_t5/ to sys.path. The eager import caches transformers 4.57.6 in sys.modules, and the subsequent sys.path change has no effect — Python always checks sys.modules before sys.path. Making the import lazy ensures transformers is not loaded until after version activation, so the subprocess picks up the correct version. * fix(studio): also lazy-import extract_model_size_b in llama_cpp.py Belt-and-suspenders: make the import that originally triggered the chain lazy as well, so future module-level AutoConfig additions in utils.models cannot reintroduce the problem. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||