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
File size: 386 Bytes
2216aae | 1 2 3 4 5 6 7 8 | from .auxfuncs import _Bool, _ROut, _Var
def var2fixfortran(vars: _Var, a: str, fa: str | None = None, f90mode: _Bool | None = None) -> str: ...
def useiso_c_binding(rout: _ROut) -> bool: ...
def createfuncwrapper(rout: _ROut, signature: int = 0) -> str: ...
def createsubrwrapper(rout: _ROut, signature: int = 0) -> str: ...
def assubr(rout: _ROut) -> tuple[dict[str, str], str]: ...
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