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/_discovery.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 836 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/_discovery.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/setuptools/_discovery.py
-
curl -L -o _discovery.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/_discovery.py
836 Bytes
| import functools | |
| import operator | |
| import packaging.requirements | |
| # from coherent.build.discovery | |
| def extras_from_dep(dep): | |
| try: | |
| markers = packaging.requirements.Requirement(dep).marker._markers | |
| except AttributeError: | |
| markers = () | |
| return set( | |
| marker[2].value | |
| for marker in markers | |
| if isinstance(marker, tuple) and marker[0].value == 'extra' | |
| ) | |
| def extras_from_deps(deps): | |
| """ | |
| >>> extras_from_deps(['requests']) | |
| set() | |
| >>> extras_from_deps(['pytest; extra == "test"']) | |
| {'test'} | |
| >>> sorted(extras_from_deps([ | |
| ... 'requests', | |
| ... 'pytest; extra == "test"', | |
| ... 'pytest-cov; extra == "test"', | |
| ... 'sphinx; extra=="doc"'])) | |
| ['doc', 'test'] | |
| """ | |
| return functools.reduce(operator.or_, map(extras_from_dep, deps), set()) | |