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/setuptools/tests/test_glob.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 887 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/tests/test_glob.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/setuptools/tests/test_glob.py
-
curl -L -o test_glob.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/tests/test_glob.py
887 Bytes
| import pytest | |
| from jaraco import path | |
| from setuptools.glob import glob | |
| def test_glob(monkeypatch, tmpdir, tree, pattern, matches): | |
| monkeypatch.chdir(tmpdir) | |
| path.build({name: '' for name in tree.split()}) | |
| assert list(sorted(glob(pattern))) == list(sorted(matches)) | |