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/tests/test_mpmath.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 196 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/mpmath/tests/test_mpmath.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/mpmath/tests/test_mpmath.py
-
curl -L -o test_mpmath.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/mpmath/tests/test_mpmath.py
196 Bytes
| from mpmath.libmp import * | |
| from mpmath import * | |
| def test_newstyle_classes(): | |
| for cls in [mp, fp, iv, mpf, mpc]: | |
| for s in cls.__class__.__mro__: | |
| assert isinstance(s, type) | |