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/version.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 293 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/version.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/version.py
-
curl -L -o version.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/version.py
293 Bytes
| """ | |
| Module to expose more detailed version info for the installed `numpy` | |
| """ | |
| version = "2.4.1" | |
| __version__ = version | |
| full_version = version | |
| git_revision = "d24bb7f48d3b0e3471c68f1309c130d0b65ee72a" | |
| release = 'dev' not in version and '+' not in version | |
| short_version = version.split("+")[0] | |