Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/pip/_internal/utils/packaging.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 1.6 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/pip/_internal/utils/packaging.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/pip/_internal/utils/packaging.py
-
curl -L -o packaging.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/pip/_internal/utils/packaging.py
1.6 kB
| from __future__ import annotations | |
| import functools | |
| import logging | |
| from pip._vendor.packaging import specifiers, version | |
| from pip._vendor.packaging.requirements import Requirement | |
| logger = logging.getLogger(__name__) | |
| def check_requires_python( | |
| requires_python: str | None, version_info: tuple[int, ...] | |
| ) -> bool: | |
| """ | |
| Check if the given Python version matches a "Requires-Python" specifier. | |
| :param version_info: A 3-tuple of ints representing a Python | |
| major-minor-micro version to check (e.g. `sys.version_info[:3]`). | |
| :return: `True` if the given Python version satisfies the requirement. | |
| Otherwise, return `False`. | |
| :raises InvalidSpecifier: If `requires_python` has an invalid format. | |
| """ | |
| if requires_python is None: | |
| # The package provides no information | |
| return True | |
| requires_python_specifier = specifiers.SpecifierSet(requires_python) | |
| python_version = version.parse(".".join(map(str, version_info))) | |
| return python_version in requires_python_specifier | |
| def get_requirement(req_string: str) -> Requirement: | |
| """Construct a packaging.Requirement object with caching""" | |
| # Parsing requirement strings is expensive, and is also expected to happen | |
| # with a low diversity of different arguments (at least relative the number | |
| # constructed). This method adds a cache to requirement object creation to | |
| # minimize repeated parsing of the same string to construct equivalent | |
| # Requirement objects. | |
| return Requirement(req_string) | |