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/sympy/codegen/pynodes.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/sympy/codegen/pynodes.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/sympy/codegen/pynodes.py
-
curl -L -o pynodes.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/sympy/codegen/pynodes.py
243 Bytes
| from .abstract_nodes import List as AbstractList | |
| from .ast import Token | |
| class List(AbstractList): | |
| pass | |
| class NumExprEvaluate(Token): | |
| """represents a call to :class:`numexpr`s :func:`evaluate`""" | |
| __slots__ = _fields = ('expr',) | |