Text-to-Image
Transformers
PyTorch
English
multi-model-orchestrator
ai
machine-learning
multimodal
image-captioning
orchestration
Instructions to use kunaliitkgp09/multi-model-orchestrator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kunaliitkgp09/multi-model-orchestrator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kunaliitkgp09/multi-model-orchestrator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download multi_model_env/lib/python3.13/site-packages/setuptools/monkey.py from kunaliitkgp09/multi-model-orchestrator: direct link, hf CLI and curl.
- Browser
- Download file 3.72 kB
-
https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/setuptools/monkey.py
- Command line
-
hf download hf://kunaliitkgp09/multi-model-orchestrator/multi_model_env/lib/python3.13/site-packages/setuptools/monkey.py
-
curl -L -o monkey.py https://huggingface.co/kunaliitkgp09/multi-model-orchestrator/resolve/main/multi_model_env/lib/python3.13/site-packages/setuptools/monkey.py
3.72 kB
| """ | |
| Monkey patching of distutils. | |
| """ | |
| from __future__ import annotations | |
| import inspect | |
| import platform | |
| import sys | |
| import types | |
| from typing import TypeVar, cast, overload | |
| import distutils.filelist | |
| _T = TypeVar("_T") | |
| _UnpatchT = TypeVar("_UnpatchT", type, types.FunctionType) | |
| __all__: list[str] = [] | |
| """ | |
| Everything is private. Contact the project team | |
| if you think you need this functionality. | |
| """ | |
| def _get_mro(cls): | |
| """ | |
| Returns the bases classes for cls sorted by the MRO. | |
| Works around an issue on Jython where inspect.getmro will not return all | |
| base classes if multiple classes share the same name. Instead, this | |
| function will return a tuple containing the class itself, and the contents | |
| of cls.__bases__. See https://github.com/pypa/setuptools/issues/1024. | |
| """ | |
| if platform.python_implementation() == "Jython": | |
| return (cls,) + cls.__bases__ | |
| return inspect.getmro(cls) | |
| def get_unpatched(item: _UnpatchT) -> _UnpatchT: ... | |
| def get_unpatched(item: object) -> None: ... | |
| def get_unpatched( | |
| item: type | types.FunctionType | object, | |
| ) -> type | types.FunctionType | None: | |
| if isinstance(item, type): | |
| return get_unpatched_class(item) | |
| if isinstance(item, types.FunctionType): | |
| return get_unpatched_function(item) | |
| return None | |
| def get_unpatched_class(cls: type[_T]) -> type[_T]: | |
| """Protect against re-patching the distutils if reloaded | |
| Also ensures that no other distutils extension monkeypatched the distutils | |
| first. | |
| """ | |
| external_bases = ( | |
| cast(type[_T], cls) | |
| for cls in _get_mro(cls) | |
| if not cls.__module__.startswith('setuptools') | |
| ) | |
| base = next(external_bases) | |
| if not base.__module__.startswith('distutils'): | |
| msg = f"distutils has already been patched by {cls!r}" | |
| raise AssertionError(msg) | |
| return base | |
| def patch_all(): | |
| import setuptools | |
| # we can't patch distutils.cmd, alas | |
| distutils.core.Command = setuptools.Command # type: ignore[misc,assignment] # monkeypatching | |
| _patch_distribution_metadata() | |
| # Install Distribution throughout the distutils | |
| for module in distutils.dist, distutils.core, distutils.cmd: | |
| module.Distribution = setuptools.dist.Distribution | |
| # Install the patched Extension | |
| distutils.core.Extension = setuptools.extension.Extension # type: ignore[misc,assignment] # monkeypatching | |
| distutils.extension.Extension = setuptools.extension.Extension # type: ignore[misc,assignment] # monkeypatching | |
| if 'distutils.command.build_ext' in sys.modules: | |
| sys.modules[ | |
| 'distutils.command.build_ext' | |
| ].Extension = setuptools.extension.Extension | |
| def _patch_distribution_metadata(): | |
| from . import _core_metadata | |
| """Patch write_pkg_file and read_pkg_file for higher metadata standards""" | |
| for attr in ( | |
| 'write_pkg_info', | |
| 'write_pkg_file', | |
| 'read_pkg_file', | |
| 'get_metadata_version', | |
| 'get_fullname', | |
| ): | |
| new_val = getattr(_core_metadata, attr) | |
| setattr(distutils.dist.DistributionMetadata, attr, new_val) | |
| def patch_func(replacement, target_mod, func_name): | |
| """ | |
| Patch func_name in target_mod with replacement | |
| Important - original must be resolved by name to avoid | |
| patching an already patched function. | |
| """ | |
| original = getattr(target_mod, func_name) | |
| # set the 'unpatched' attribute on the replacement to | |
| # point to the original. | |
| vars(replacement).setdefault('unpatched', original) | |
| # replace the function in the original module | |
| setattr(target_mod, func_name, replacement) | |
| def get_unpatched_function(candidate): | |
| return candidate.unpatched | |