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/random/_pickle.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 1.61 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_pickle.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/random/_pickle.pyi
-
curl -L -o _pickle.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/random/_pickle.pyi
1.61 kB
| from collections.abc import Callable | |
| from typing import Final, Literal, TypedDict, TypeVar, overload, type_check_only | |
| from numpy.random._generator import Generator | |
| from numpy.random._mt19937 import MT19937 | |
| from numpy.random._pcg64 import PCG64, PCG64DXSM | |
| from numpy.random._philox import Philox | |
| from numpy.random._sfc64 import SFC64 | |
| from numpy.random.bit_generator import BitGenerator | |
| from numpy.random.mtrand import RandomState | |
| _T = TypeVar("_T", bound=BitGenerator) | |
| class _BitGenerators(TypedDict): | |
| MT19937: type[MT19937] | |
| PCG64: type[PCG64] | |
| PCG64DXSM: type[PCG64DXSM] | |
| Philox: type[Philox] | |
| SFC64: type[SFC64] | |
| BitGenerators: Final[_BitGenerators] = ... | |
| def __bit_generator_ctor(bit_generator: Literal["MT19937"] = "MT19937") -> MT19937: ... | |
| def __bit_generator_ctor(bit_generator: Literal["PCG64"]) -> PCG64: ... | |
| def __bit_generator_ctor(bit_generator: Literal["PCG64DXSM"]) -> PCG64DXSM: ... | |
| def __bit_generator_ctor(bit_generator: Literal["Philox"]) -> Philox: ... | |
| def __bit_generator_ctor(bit_generator: Literal["SFC64"]) -> SFC64: ... | |
| def __bit_generator_ctor(bit_generator: type[_T]) -> _T: ... | |
| def __generator_ctor( | |
| bit_generator_name: str | type[BitGenerator] | BitGenerator = "MT19937", | |
| bit_generator_ctor: Callable[[str | type[BitGenerator]], BitGenerator] = ..., | |
| ) -> Generator: ... | |
| def __randomstate_ctor( | |
| bit_generator_name: str | type[BitGenerator] | BitGenerator = "MT19937", | |
| bit_generator_ctor: Callable[[str | type[BitGenerator]], BitGenerator] = ..., | |
| ) -> RandomState: ... | |