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/__main__.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 130 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/__main__.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/f2py/__main__.py
-
curl -L -o __main__.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/__main__.py
130 Bytes
| # See: | |
| # https://web.archive.org/web/20140822061353/http://cens.ioc.ee/projects/f2py2e | |
| from numpy.f2py.f2py2e import main | |
| main() | |