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/exceptions.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 794 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/exceptions.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/exceptions.pyi
-
curl -L -o exceptions.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/exceptions.pyi
794 Bytes
| from typing import overload | |
| __all__ = [ | |
| "ComplexWarning", | |
| "VisibleDeprecationWarning", | |
| "ModuleDeprecationWarning", | |
| "TooHardError", | |
| "AxisError", | |
| "DTypePromotionError", | |
| ] | |
| class ComplexWarning(RuntimeWarning): ... | |
| class ModuleDeprecationWarning(DeprecationWarning): ... | |
| class VisibleDeprecationWarning(UserWarning): ... | |
| class RankWarning(RuntimeWarning): ... | |
| class TooHardError(RuntimeError): ... | |
| class DTypePromotionError(TypeError): ... | |
| class AxisError(ValueError, IndexError): | |
| __slots__ = "_msg", "axis", "ndim" | |
| axis: int | None | |
| ndim: int | None | |
| @overload | |
| def __init__(self, axis: str, ndim: None = None, msg_prefix: None = None) -> None: ... | |
| @overload | |
| def __init__(self, axis: int, ndim: int, msg_prefix: str | None = None) -> None: ... | |