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: 803 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | # mypy: disable_error_code=call-overload
# pyright: reportCallIssue=false, reportArgumentType=false
# Can't disable on the exact line because distutils doesn't exists on Python 3.12
# and type-checkers aren't aware of distutils_hack,
# causing distutils.command.bdist.bdist.format_commands to be Any.
import sys
from distutils.command.bdist import bdist
if 'egg' not in bdist.format_commands:
try:
# format_commands is a dict in vendored distutils
# It used to be a list in older (stdlib) distutils
# We support both for backwards compatibility
bdist.format_commands['egg'] = ('bdist_egg', "Python .egg file")
except TypeError:
bdist.format_command['egg'] = ('bdist_egg', "Python .egg file")
bdist.format_commands.append('egg')
del bdist, sys
|