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: 495 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | from collections.abc import Mapping
from typing import Any, Final
from .__version__ import version
##
f2py_version: Final = version
cb_routine_rules: Final[dict[str, str | list[str]]] = ...
cb_rout_rules: Final[list[dict[str, str | Any]]] = ...
cb_arg_rules: Final[list[dict[str, str | Any]]] = ...
cb_map: Final[dict[str, list[list[str]]]] = ...
def buildcallbacks(m: Mapping[str, object]) -> None: ...
def buildcallback(rout: Mapping[str, object], um: Mapping[str, object]) -> None: ...
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