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/mpmath/functions/__init__.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 330 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/mpmath/functions/__init__.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/mpmath/functions/__init__.py
-
curl -L -o __init__.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/mpmath/functions/__init__.py
330 Bytes
| from . import functions | |
| # Hack to update methods | |
| from . import factorials | |
| from . import hypergeometric | |
| from . import expintegrals | |
| from . import bessel | |
| from . import orthogonal | |
| from . import theta | |
| from . import elliptic | |
| from . import signals | |
| from . import zeta | |
| from . import rszeta | |
| from . import zetazeros | |
| from . import qfunctions | |