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/testing/_private/extbuild.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 653 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/testing/_private/extbuild.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/testing/_private/extbuild.pyi
-
curl -L -o extbuild.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/testing/_private/extbuild.pyi
653 Bytes
| import pathlib | |
| import types | |
| from collections.abc import Sequence | |
| __all__ = ["build_and_import_extension", "compile_extension_module"] | |
| def build_and_import_extension( | |
| modname: str, | |
| functions: Sequence[tuple[str, str, str]], | |
| *, | |
| prologue: str = "", | |
| build_dir: pathlib.Path | None = None, | |
| include_dirs: Sequence[str] | None = None, | |
| more_init: str = "", | |
| ) -> types.ModuleType: ... | |
| # | |
| def compile_extension_module( | |
| name: str, | |
| builddir: pathlib.Path, | |
| include_dirs: Sequence[str], | |
| source_string: str, | |
| libraries: Sequence[str] | None = None, | |
| library_dirs: Sequence[str] | None = None, | |
| ) -> pathlib.Path: ... | |