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/_pytesttester.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 503 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_pytesttester.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/_pytesttester.pyi
-
curl -L -o _pytesttester.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_pytesttester.pyi
503 Bytes
| from collections.abc import Iterable | |
| from typing import Literal as L | |
| __all__ = ["PytestTester"] | |
| class PytestTester: | |
| module_name: str | |
| def __init__(self, module_name: str) -> None: ... | |
| def __call__( | |
| self, | |
| label: L["fast", "full"] = "fast", | |
| verbose: int = 1, | |
| extra_argv: Iterable[str] | None = None, | |
| doctests: L[False] = False, | |
| coverage: bool = False, | |
| durations: int = -1, | |
| tests: Iterable[str] | None = None, | |
| ) -> bool: ... | |