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/packaging/__init__.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 494 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/packaging/__init__.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/packaging/__init__.py
-
curl -L -o __init__.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/packaging/__init__.py
494 Bytes
| # This file is dual licensed under the terms of the Apache License, Version | |
| # 2.0, and the BSD License. See the LICENSE file in the root of this repository | |
| # for complete details. | |
| __title__ = "packaging" | |
| __summary__ = "Core utilities for Python packages" | |
| __uri__ = "https://github.com/pypa/packaging" | |
| __version__ = "25.0" | |
| __author__ = "Donald Stufft and individual contributors" | |
| __email__ = "donald@stufft.io" | |
| __license__ = "BSD-2-Clause or Apache-2.0" | |
| __copyright__ = f"2014 {__author__}" | |