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_common.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 644 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_common.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_common.py
-
curl -L -o test_common.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_common.py
644 Bytes
| import pytest | |
| import numpy as np | |
| from . import util | |
| class TestCommonBlock(util.F2PyTest): | |
| sources = [util.getpath("tests", "src", "common", "block.f")] | |
| def test_common_block(self): | |
| self.module.initcb() | |
| assert self.module.block.long_bn == np.array(1.0, dtype=np.float64) | |
| assert self.module.block.string_bn == np.array("2", dtype="|S1") | |
| assert self.module.block.ok == np.array(3, dtype=np.int32) | |
| class TestCommonWithUse(util.F2PyTest): | |
| sources = [util.getpath("tests", "src", "common", "gh19161.f90")] | |
| def test_common_gh19161(self): | |
| assert self.module.data.x == 0 | |