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: 692 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | from setuptools.command.setopt import edit_config, option_base
class saveopts(option_base):
"""Save command-line options to a file"""
description = "save supplied options to setup.cfg or other config file"
def run(self) -> None:
dist = self.distribution
settings: dict[str, dict[str, str]] = {}
for cmd in dist.command_options:
if cmd == 'saveopts':
continue # don't save our own options!
for opt, (src, val) in dist.get_option_dict(cmd).items():
if src == "command line":
settings.setdefault(cmd, {})[opt] = val
edit_config(self.filename, settings, self.dry_run)
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