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/f2py/_isocbind.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 339 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/_isocbind.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/f2py/_isocbind.pyi
-
curl -L -o _isocbind.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/_isocbind.pyi
339 Bytes
| from typing import Any, Final | |
| iso_c_binding_map: Final[dict[str, dict[str, str]]] = ... | |
| isoc_c2pycode_map: Final[dict[str, Any]] = {} # not implemented | |
| iso_c2py_map: Final[dict[str, Any]] = {} # not implemented | |
| isoc_kindmap: Final[dict[str, str]] = ... | |
| # namespace pollution | |
| c_type: str | |
| c_type_dict: dict[str, str] | |
| fortran_type: str | |