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/_globals.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_globals.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/_globals.pyi
-
curl -L -o _globals.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_globals.pyi
280 Bytes
| __all__ = ["_CopyMode", "_NoValue"] | |
| import enum | |
| from typing import Final, final | |
| @final | |
| class _CopyMode(enum.Enum): | |
| ALWAYS = True | |
| NEVER = False | |
| IF_NEEDED = 2 | |
| def __bool__(self, /) -> bool: ... | |
| @final | |
| class _NoValueType: ... | |
| _NoValue: Final[_NoValueType] = ... | |