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/numpy/f2py/tests/test_mixed.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 862 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_mixed.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_mixed.py
-
curl -L -o test_mixed.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_mixed.py
862 Bytes
| import textwrap | |
| import pytest | |
| from numpy.testing import IS_PYPY | |
| from . import util | |
| class TestMixed(util.F2PyTest): | |
| sources = [ | |
| util.getpath("tests", "src", "mixed", "foo.f"), | |
| util.getpath("tests", "src", "mixed", "foo_fixed.f90"), | |
| util.getpath("tests", "src", "mixed", "foo_free.f90"), | |
| ] | |
| def test_all(self): | |
| assert self.module.bar11() == 11 | |
| assert self.module.foo_fixed.bar12() == 12 | |
| assert self.module.foo_free.bar13() == 13 | |
| def test_docstring(self): | |
| expected = textwrap.dedent("""\ | |
| a = bar11() | |
| Wrapper for ``bar11``. | |
| Returns | |
| ------- | |
| a : int | |
| """) | |
| assert self.module.bar11.__doc__ == expected | |