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: 396 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 | from collections.abc import Callable, Hashable
from typing import Any
from typing_extensions import TypeIs
import numpy as np
def get_overridable_numpy_ufuncs() -> set[np.ufunc]: ...
def get_overridable_numpy_array_functions() -> set[Callable[..., Any]]: ...
def allows_array_ufunc_override(func: object) -> TypeIs[np.ufunc]: ...
def allows_array_function_override(func: Hashable) -> bool: ...
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