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/_distutils/dep_util.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 349 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/_distutils/dep_util.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/setuptools/_distutils/dep_util.py
-
curl -L -o dep_util.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/_distutils/dep_util.py
349 Bytes
| import warnings | |
| from . import _modified | |
| def __getattr__(name): | |
| if name not in ['newer', 'newer_group', 'newer_pairwise']: | |
| raise AttributeError(name) | |
| warnings.warn( | |
| "dep_util is Deprecated. Use functions from setuptools instead.", | |
| DeprecationWarning, | |
| stacklevel=2, | |
| ) | |
| return getattr(_modified, name) | |