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/compat/numpy.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 167 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/_distutils/compat/numpy.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/setuptools/_distutils/compat/numpy.py
-
curl -L -o numpy.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/setuptools/_distutils/compat/numpy.py
167 Bytes
| # required for older numpy versions on Pythons prior to 3.12; see pypa/setuptools#4876 | |
| from ..compilers.C.base import _default_compilers, compiler_class # noqa: F401 | |