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
File size: 503 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | 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: ...
|