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/numpy/_distributor_init.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_distributor_init.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/_distributor_init.py
-
curl -L -o _distributor_init.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/_distributor_init.py
421 Bytes
| """ Distributor init file | |
| Distributors: you can add custom code here to support particular distributions | |
| of numpy. | |
| For example, this is a good place to put any BLAS/LAPACK initialization code. | |
| The numpy standard source distribution will not put code in this file, so you | |
| can safely replace this file with your own version. | |
| """ | |
| try: | |
| from . import _distributor_init_local # noqa: F401 | |
| except ImportError: | |
| pass | |