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: 421 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | from collections.abc import Callable
from typing import Any, NamedTuple, TypeAlias
import numpy as np
__all__: list[str] = ["interface"]
_CDataVoidPointer: TypeAlias = Any
class interface(NamedTuple):
state_address: int
state: _CDataVoidPointer
next_uint64: Callable[..., np.uint64]
next_uint32: Callable[..., np.uint32]
next_double: Callable[..., np.float64]
bit_generator: _CDataVoidPointer
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